The Bp Business Intelligence interview guide, interview questions, salary data, and interview experiences.

Bp Business Intelligence Interview Guide

<p>Getting ready for an Business Intelligence interview at Bp? The Bp Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:</p>
<ul>
<li>Know what skills are necessary for Bp Business Intelligence roles.</li>
<li>Gain insights into the Business Intelligence interview process at Bp.</li>
<li>Practice real Bp Business Intelligence interview questions.</li>
</ul>
<p>Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Bp Business Intelligence interview.</p>


Getting ready for an Business Intelligence interview at Bp? The Bp Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Bp Business Intelligence roles.
- Gain insights into the Business Intelligence interview process at Bp.
- Practice real Bp Business Intelligence interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Bp Business Intelligence interview.
        

Overview

<p>We've gathered this data from parsing thousands of interview experiences sourced from members.</p>

We've gathered this data from parsing thousands of interview experiences sourced from members.

Bp Business Intelligence Interview Process

<p>Suppose your company needs to cut costs due to an economic downturn. During a coffee break, you hear a rumor that a lot of money goes to employees who don’t do their work, and you decide to find out if the rumor is true.</p>

<p>Given two tables: <code>employees</code> and <code>projects</code>, find the sum of the salaries of all the employees who didn’t complete any of their projects.</p>

<p>Clarification:</p>

<p>We will consider a project unfinished if it has no end date (its <code>End_dt</code> is <code>NULL</code>).</p>

<p>Given this, we’ll say an employee didn’t finish any of their projects when:</p>

<ul>
<li>They were assigned at least one project.</li>
<li>None of their projects have an <code>End_dt</code>.</li>
</ul>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<p><code>employees</code> table</p>

<table>
<thead>
<tr>
<th>id</th>
<th>salary</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
<p><code>projects</code> table</p>

<table>
<thead>
<tr>
<th>employee_id</th>
<th>project_id</th>
<th>Start_dt</th>
<th>End_dt</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
<td>INTEGER</td>
<td>DATETIME</td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>total_slack_salary</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
</tr>
</tbody>
</table>


Find the total salary of slacking employees.

Slacking Employees Salaries

<p>You’ve been asked to analyze the player’s behaviors at a gaming company.</p>

<p>Write a query to get the number of players who played between 5 and 10 games (5 and 10 excluded), and the number of players who played 10 games or more.</p>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<p><strong><code>players</code></strong> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>name</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>games_played</td>
<td>INTEGER</td>
</tr>

<tr>
<td>registered_at</td>
<td>TIMESTAMP</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>players_more_than_5_to_10_games</td>
<td>INTEGER</td>
</tr>

<tr>
<td>players_10_plus_games</td>
<td>INTEGER</td>
</tr>
</tbody>
</table>


Obtain count of players based on games played.

Player Analysis

<p>You have been given a table <code>tbl_numbers</code> with only one column: <code>int_numbers</code>.  It can have one integer number value per row in a sequential manner.</p>

<p>Write a query to return the number repeated by one times its own value.</p>

<p>For example, the integer number 5 would appear five times in the output (1 times 5).</p>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<p><code>tbl_numbers</code> table</p>

<table>
<thead>
<tr>
<th>int_numbers</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>1</code></td>
</tr>

<tr>
<td><code>2</code></td>
</tr>

<tr>
<td><code>3</code></td>
</tr>

<tr>
<td><code>4</code></td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>seq_numbers</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>1</code></td>
</tr>

<tr>
<td><code>2</code></td>
</tr>

<tr>
<td><code>2</code></td>
</tr>

<tr>
<td><code>3</code></td>
</tr>

<tr>
<td><code>3</code></td>
</tr>

<tr>
<td><code>3</code></td>
</tr>

<tr>
<td><code>4</code></td>
</tr>

<tr>
<td><code>4</code></td>
</tr>

<tr>
<td><code>4</code></td>
</tr>

<tr>
<td><code>4</code></td>
</tr>
</tbody>
</table>


Sequentially Fill in Integers

Bp Business Intelligence Interview Questions

Join to apply for the  Machine Learning Engineer  role at  bp
Join to apply for the  Machine Learning Engineer  role at  bp
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Role Synopsis

The Machine Learning Engineer will be responsible for implementing and maintaining data science models in bpx’s machine learning studio. The role will be a subject matter expert in machine learning operations and the associated technology. This role will bridge the gap between pure data science and the computational requirements needed to meet business outcomes. The role will have the ability to guide bpx’s data science journey in a nascent technology stack. The ML Engineer will have significant freedom and latitude to suggest and implement solutions.
Entity:

Production & Operations

Job Family Group:

IT&S Group

Job Description:

Role Synopsis

The Machine Learning Engineer will be responsible for implementing and maintaining data science models in bpx’s machine learning studio. The role will be a subject matter expert in machine learning operations and the associated technology. This role will bridge the gap between pure data science and the computational requirements needed to meet business outcomes. The role will have the ability to guide bpx’s data science journey in a nascent technology stack. The ML Engineer will have significant freedom and latitude to suggest and implement solutions.

Key Accountabilities
Implement data science algorithms in bpx’s ML Studio SageMaker).
Create systems and processes to monitor performance of ML algorithms in production.
Serve as the subject matter expert of ML Operations and guides data scientists in the practical implications of model design
Collaborate with the data engineering team to build and maintain data pipelines from systems like Snowflake and OSI Pi
Partner with bpx Architecture team to ensure endpoints, compute, and network considerations are built into solutions
Takes initiative and stays up to date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department.
Work as part of geographically dispersed team, effectively communicating prioritized business needs and prioritized project statuses.
Design systems to balance cost and performance to meet business outcomes

Essential Education And Experience
A Bachelor’s degree (Master’s preferred) in Statistics, Mathematics, Computer Science, or any other related quantitative field.
7+ years in data science or related field, 3+ years of hands-on experience in machine learning operations.
Proven track record of implementing and scaling models in an operations or customers focused company
Strong programming skills: Python and Cloud Implementation Scripting
Experience with big data, real-time streaming data technologies, and cluster computing environments.
Knowledge and exposure to cloud technologies, especially AWS.
Must be legally authorized to work in the US without sponsorship.

How much do we pay (Base)? $119,000-$140,000 *Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.

Why join our team?

At bpx, we provide an excellent working environment and a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401K matching program.

We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly.

We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment.

Don’t hesitate to get in touch with us to request any accommodations!

Travel Requirement

Negligible travel should be expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

This position is a hybrid of office/remote working

Skills:

Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
Seniority level    Seniority level Associate
Employment type    Employment type Full-time
Job function    Job function Engineering and Information Technology
Industries Oil and Gas
Referrals increase your chances of interviewing at bp by 2x
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<p><strong><u>Qualifications:</u></strong></p><ul><li>MSc in a quantitative field, preferably statistics.</li><li>Hands-on experience (typically approx. 4- 6 years) carrying out data analytics, data mining and product analytics in sophisticated, fast-paced environments.</li><li>Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages.</li><li>Deep understanding of a few and a high-level understanding of several commonly available statistics approaches</li><li>Advanced SQL knowledge</li><li>Advanced scripting experience in R or Python.</li><li>Ability to write and maintain moderately complex data pipelines.</li><li>Strong business insight.</li><li>Customer-centric and pragmatic approach. Focus on value delivery and swift execution, while maintaining attention to detail.</li><li>Good communication and customer leadership skills. Ability to lead large organizations through influence!</li><li>Continuous learning and improvement mentality.</li></ul><p></p>

Join to apply for the  Data Scientist  role at  bp
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Join to apply for the  Data Scientist  role at  bp
Job Description:

The Data Scientist will be responsible for running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches. The role will participate in the team’s engagement with business stakeholders and partners to enhance the existing analytics solutions and developing new solutions to business problems.
Entity:

Production & Operations

Job Family Group:

Research & Technology Group

Job Description:

The Data Scientist will be responsible for running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches. The role will participate in the team’s engagement with business stakeholders and partners to enhance the existing analytics solutions and developing new solutions to business problems.

The role requires a leader with vision that will be instrumental in providing inputs to the AI & Data Science, Central Data, and business teams for the design and building of predictive models and algorithms, exploratory data analysis, test design, statistical tests and measures, and business value measurement.

Key Accountabilities
Lead the design, development, and implementation of AI/ML solutions for applications specific to oil and gas development and operations
Architect end-to-end ML pipelines that address the full lifecycle of AI/ML solutions from ideation to production deployment, ensuring scalability and business impact.
Collaborate with multi-functional teams including geologists, petroleum engineers, and operations staff to translate complex business problems into effective data-driven solutions
Provide technical leadership across AI/ML projects, establishing best practices and mentoring junior team members to build organizational capability
Drive MLOps best practices, including CI/CD pipelines, model monitoring, and automated retraining workflows.
Spearhead research initiatives to solve complex business problems using statistics, ML, and foundation models, while serving as the SME in advanced ML techniques, educating partners on model capabilities and limitations.
Identify high-impact AI opportunities, prioritizing initiatives that drive revenue growth and operational efficiency.
Partner with Data Engineering to design scalable data pipelines for ML consumption to ensure real-time data integrations and develop model-serving architectures.
Apply predictive modeling, LLMs, and deep learning to extract actionable insights from large-scale datasets.
Leverage data science tools and techniques in analyzing large datasets that will enable development of custom models and algorithms to uncover insights, trends, and patterns in the data, which will be useful in availing informed courses of action.
Responsible for the evaluation of analytics and machine learning technologies for use in the business and communicates findings to key partners through reports and presentations.
Partners with other non-technical departments within the business to assist them in understanding how data science can benefit them and improve their effectiveness and performance.
Stay ahead of cutting-edge AI advancements (e.g., Generative AI, reinforcement learning) and assess their business viability.

Essential Education & Experience
A master’s degree (PhD preferred) in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.
5+ years of experience in machine learning (supervised, unsupervised, and ensemble methods), natural language processing; deep learning experience is a bonus.
3+ years of experience developing and deploying machine learning models in production environments with demonstrable impact to the business
Demonstrated expertise in Python and relevant data science/ML libraries including TensorFlow, PyTorch, scikit-learn, and pandas, and ability to create visualizations and apply persuasive story telling.
Hands-on experience with cloud computing platforms (AWS, Azure, GCP) and proficiency with industrial data platforms
Proven track record of developing, scaling, and implementing models in customer facing environments.
Solid understanding of statistical analysis, experimental design, and data preprocessing techniques for industrial applications
Knowledge of DevOps practices and CI/CD pipelines for seamless ML model deployment in production environments
Proven ability to design fault-tolerant ML systems with monitoring and automated retraining pipelines, along with model-serving and event-driven architectures
Demonstrated ability to conduct rapid Proof of Concepts (POCs) using design thinking methodologies
Exposure of modern ML libraries (Hugging Face Transformers, LangChain, LlamaIndex), Spark/PySpark for large-scale data processing

Desireable criteria

Ability to lead others to draw conclusions from data and recommend actions.
Ability to succeed in a fast-paced environment, deliver high quality performance on multiple, simultaneous strategic, value-added tasks and priorities.
Relentless drive, determination, and self-learning ability.
Highly organized and attentive to detail.

How much do we pay (Base) $143,000 - $180,000 . Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.

Why join us?

At bpx, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly.

We offer a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision, and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401(k) matching program.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations.

Discover your place with us and help our business meet the challenges of reimagining and reinventing the future of energy.

Travel Requirement

Negligible travel should be expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

This position is a hybrid of office/remote working

Skills:

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
Seniority level    Seniority level Associate
Employment type    Employment type Full-time
Job function    Job function Engineering and Information Technology
Industries Oil and Gas
Referrals increase your chances of interviewing at bp by 2x
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Join to apply for the  Machine Learning Engineer  role at  bp
Join to apply for the  Machine Learning Engineer  role at  bp
Get AI-powered advice on this job and more exclusive features.
Role Synopsis

The Machine Learning Engineer will be responsible for implementing and maintaining data science models in bpx’s machine learning studio. The role will be a subject matter expert in machine learning operations and the associated technology. This role will bridge the gap between pure data science and the computational requirements needed to meet business outcomes. The role will have the ability to guide bpx’s data science journey in a nascent technology stack. The ML Engineer will have significant freedom and latitude to suggest and implement solutions.
Entity:

Production & Operations

Job Family Group:

IT&S Group

Job Description:

Role Synopsis

The Machine Learning Engineer will be responsible for implementing and maintaining data science models in bpx’s machine learning studio. The role will be a subject matter expert in machine learning operations and the associated technology. This role will bridge the gap between pure data science and the computational requirements needed to meet business outcomes. The role will have the ability to guide bpx’s data science journey in a nascent technology stack. The ML Engineer will have significant freedom and latitude to suggest and implement solutions.

Key Accountabilities
Implement data science algorithms in bpx’s ML Studio SageMaker).
Create systems and processes to monitor performance of ML algorithms in production.
Serve as the subject matter expert of ML Operations and guides data scientists in the practical implications of model design
Collaborate with the data engineering team to build and maintain data pipelines from systems like Snowflake and OSI Pi
Partner with bpx Architecture team to ensure endpoints, compute, and network considerations are built into solutions
Takes initiative and stays up to date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department.
Work as part of geographically dispersed team, effectively communicating prioritized business needs and prioritized project statuses.
Design systems to balance cost and performance to meet business outcomes

Essential Education And Experience
A Bachelor’s degree (Master’s preferred) in Statistics, Mathematics, Computer Science, or any other related quantitative field.
7+ years in data science or related field, 3+ years of hands-on experience in machine learning operations.
Proven track record of implementing and scaling models in an operations or customers focused company
Strong programming skills: Python and Cloud Implementation Scripting
Experience with big data, real-time streaming data technologies, and cluster computing environments.
Knowledge and exposure to cloud technologies, especially AWS.
Must be legally authorized to work in the US without sponsorship.

How much do we pay (Base)? $119,000-$140,000 *Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.

Why join our team?

At bpx, we provide an excellent working environment and a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401K matching program.

We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly.

We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment.

Don’t hesitate to get in touch with us to request any accommodations!

Travel Requirement

Negligible travel should be expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

This position is a hybrid of office/remote working

Skills:

Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
Seniority level    Seniority level Associate
Employment type    Employment type Full-time
Job function    Job function Engineering and Information Technology
Industries Oil and Gas
Referrals increase your chances of interviewing at bp by 2x
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Entity :  Production & OperationsJob Family Group : Research & Technology GroupJob Description : The Data Scientist will be responsible for running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches. The role will participate in the team's engagement with business stakeholders and partners to enhance the existing analytics solutions and developing new solutions to business problems.The role requires a leader with vision that will be instrumental in providing inputs to the AI & Data Science, Central Data, and business teams for the design and building of predictive models and algorithms, exploratory data analysis, test design, statistical tests and measures, and business value measurement.Key accountabilitiesLead the design, development, and implementation of AI / ML solutions for applications specific to oil and gas development and operationsArchitect end-to-end ML pipelines that address the full lifecycle of AI / ML solutions from ideation to production deployment, ensuring scalability and business impact.Collaborate with multi-functional teams including geologists, petroleum engineers, and operations staff to translate complex business problems into effective data-driven solutionsProvide technical leadership across AI / ML projects, establishing best practices and mentoring junior team members to build organizational capabilityDrive MLOps best practices, including CI / CD pipelines, model monitoring, and automated retraining workflows.Spearhead research initiatives to solve complex business problems using statistics, ML, and foundation models, while serving as the SME in advanced ML techniques, educating partners on model capabilities and
high-impact AI opportunities, prioritizing initiatives that drive revenue growth and operational efficiency.Partner with Data Engineering to design scalable data pipelines for ML consumption to ensure real-time data integrations and develop model-serving architectures.Apply predictive modeling, LLMs, and deep learning to extract actionable insights from large-scale
data science tools and techniques in analyzing large datasets that will enable development of custom models and algorithms to uncover insights, trends, and patterns in the data, which will be useful in availing informed courses of action.Responsible for the evaluation of analytics and machine learning technologies for use in the business and communicates findings to key partners through reports and
with other non-technical departments within the business to assist them in understanding how data science can benefit them and improve their effectiveness and performance.Stay ahead of cutting-edge AI advancements (e.g., Generative AI, reinforcement learning) and assess their business viability.Essential Education & ExperienceA master's degree (PhD preferred) in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.5+ years of experience in machine learning (supervised, unsupervised, and ensemble methods), natural language processing; deep learning experience is a bonus.3+ years of experience developing and deploying machine learning models in production environments with demonstrable impact to the businessDemonstrated expertise in Python and relevant data science / ML libraries including TensorFlow, PyTorch, scikit-learn, and pandas, and ability to create visualizations and apply persuasive story telling.Hands-on experience with cloud computing platforms (AWS, Azure, GCP) and proficiency with industrial data platformsProven track record of developing, scaling, and implementing models in customer facing environments.Solid understanding of statistical analysis, experimental design, and data preprocessing techniques for industrial applicationsKnowledge of DevOps practices and CI / CD pipelines for seamless ML model deployment in production environmentsProven ability to design fault-tolerant ML systems with monitoring and automated retraining pipelines, along with model-serving and event-driven architecturesDemonstrated ability to conduct rapid Proof of Concepts (POCs) using design thinking methodologiesExposure of modern ML libraries (Hugging Face Transformers, LangChain, LlamaIndex), Spark / PySpark for large-scale data processingDesireable criteriaAbility to lead others to draw conclusions from data and recommend actions.Ability to succeed in a fast-paced environment, deliver high quality performance on multiple, simultaneous strategic, value-added tasks and priorities.Relentless drive, determination, and self-learning ability.Highly organized and attentive to detail.How much do we pay (Base) $143,000 - $180,000 . Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.Why join us?At bpx, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly.We offer a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision, and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401(k) matching program.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request
your place with us and help our business meet the challenges of reimagining and reinventing the future of energy.Travel RequirementNegligible travel should be expected with this roleRelocation Assistance : This role is not eligible for relocationRemote Type : This position is a hybrid of office / remote workingSkills : Legal Disclaimer : We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity / neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment / accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment / accommodation related to the recruitment process, please contact us.If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
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<p><strong>Job Title:</strong> Principle Endur Back office BA </p><p><strong>Location:</strong> Canary Wharf or Remote</p><p><strong>Start Date:</strong> ASAP</p><p><strong>Contract Length/End Date:</strong> 31st December with possibility of extension</p><p><strong>Working hours:</strong> 40 hrs/week</p><p> </p><p><strong><u>Role Overview</u></strong></p><p><strong> </strong></p><p>Endur technical business analyst to work on Back Office elements for our Power Trading team.</p><p> </p><p><strong><u>Key Skills</u></strong></p><p> </p><ul><li>At least 10 years of hands-on experience implementing and extending features in OpenLink Endur</li><li>Experience working on Physical and Financial Power and Gas Markets.</li><li>Ability to work independently as a BA lead and in a team supporting other BAs on projects.</li><li>Experience working across all areas of the trading floor of Front/Mid/Back office but with a focus on back office</li><li>Expert in non-linear instruments in a Commodity/Energy Trading environment and how to represent them in Openlink Endur.</li><li>Comfortable in liaising with both Traders, account and risk teams</li><li>An understanding of account principles; postings, reconciliation, ledgers and integration with SAP.</li><li>Strong functional experience with Endur deal lifecycle management including Back Office Desktop, Accounting Desktop, experience with Tax Manager and Hedge Analyzer is a plus</li><li>Endur configuration for Deal lifecycle, Confirmations, Settlement invoicing and scheduling</li><li>A proven ability to solve problems creatively within a transparent change control mechanism.</li><li>Understanding of Endur Reporting architecture, including understanding of core Risk simulation results and modules of Endur such as APM, TPM, DMS, Connex and EOD Workflows</li><li>Understand Endur deployment procedures including CMM import/export and cloud DevOps</li><li>Working with business analysts and traders to elaborate requirements, design and implement efficient application solutions</li><li>Implementing a test regime to ensure solution quality across the delivery</li><li>Working with a hybrid team of delivery resources (internal & external); utilising scrum methodology where relevant</li><li>Strong Communications skills with the ability to operate across complex business environments and stakeholders up to senior executive level.</li><li>A strong familiarity with analytical software tools, methodologies, and best practices.</li><li>Excellent analytical skills following a structured approach.</li><li>Experience of agile delivery. </li></ul><p> </p><p><strong><u>Preferred experience:</u></strong></p><p> </p><p>The consultant will support bp’s implementation of ION’s Endur ETRM solution as part of a project team or as an individual contributor. In this role the individual will be responsible for advising and working with clients on the use, configuration, and customization of Endur’s back office/settlements and accounting solution. Therefore the below is the desired exposure the candidate will have:</p><ul><li>Minimum experience of 10 years in the energy or commodities markets</li><li>Experience in the natural gas, power, LNG, renewables, or oil markets is a plus</li><li>Experience with scheduling/logistics and volume actualization is a plus</li><li>Demonstrated outstanding academic achievement resulting in a Bachelor’s degree in Accounting. </li><li>MBA, Masters in Accounting, and/or CPA are a strong plus</li><li>Experience in Endur implementation and upgrade projects with strong knowledge of industry leading practices</li><li>Must be willing to learn and demonstrate high self-motivation</li><li>Must be detail-oriented and organized</li><li>Must have a strong technical aptitude</li><li>Knowledge of SQL is a plus</li></ul><p>Must have excellent written and verbal communication skills</p><p></p>

Entity:

Production & Operations

Job Family Group:

Research & Technology Group

Job Description:

The Data Scientist will be responsible for running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches. The role will participate in the team’s engagement with business stakeholders and partners to enhance the existing analytics solutions and developing new solutions to business problems.

The role requires a leader with vision that will be instrumental in providing inputs to the AI & Data Science, Central Data, and business teams for the design and building of predictive models and algorithms, exploratory data analysis, test design, statistical tests and measures, and business value measurement.

Key Accountabilities
Lead the design, development, and implementation of AI/ML solutions for applications specific to oil and gas development and operations
Architect end-to-end ML pipelines that address the full lifecycle of AI/ML solutions from ideation to production deployment, ensuring scalability and business impact.
Collaborate with multi-functional teams including geologists, petroleum engineers, and operations staff to translate complex business problems into effective data-driven solutions
Provide technical leadership across AI/ML projects, establishing best practices and mentoring junior team members to build organizational capability
Drive MLOps best practices, including CI/CD pipelines, model monitoring, and automated retraining workflows.
Spearhead research initiatives to solve complex business problems using statistics, ML, and foundation models, while serving as the SME in advanced ML techniques, educating partners on model capabilities and limitations.
Identify high-impact AI opportunities, prioritizing initiatives that drive revenue growth and operational efficiency.
Partner with Data Engineering to design scalable data pipelines for ML consumption to ensure real-time data integrations and develop model-serving architectures.
Apply predictive modeling, LLMs, and deep learning to extract actionable insights from large-scale datasets.
Leverage data science tools and techniques in analyzing large datasets that will enable development of custom models and algorithms to uncover insights, trends, and patterns in the data, which will be useful in availing informed courses of action.
Responsible for the evaluation of analytics and machine learning technologies for use in the business and communicates findings to key partners through reports and presentations.
Partners with other non-technical departments within the business to assist them in understanding how data science can benefit them and improve their effectiveness and performance.
Stay ahead of cutting-edge AI advancements (e.g., Generative AI, reinforcement learning) and assess their business viability.

Essential Education & Experience
A master’s degree (PhD preferred) in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.
5+ years of experience in machine learning (supervised, unsupervised, and ensemble methods), natural language processing; deep learning experience is a bonus.
3+ years of experience developing and deploying machine learning models in production environments with demonstrable impact to the business
Demonstrated expertise in Python and relevant data science/ML libraries including TensorFlow, PyTorch, scikit-learn, and pandas, and ability to create visualizations and apply persuasive story telling.
Hands-on experience with cloud computing platforms (AWS, Azure, GCP) and proficiency with industrial data platforms
Proven track record of developing, scaling, and implementing models in customer facing environments.
Solid understanding of statistical analysis, experimental design, and data preprocessing techniques for industrial applications
Knowledge of DevOps practices and CI/CD pipelines for seamless ML model deployment in production environments
Proven ability to design fault-tolerant ML systems with monitoring and automated retraining pipelines, along with model-serving and event-driven architectures
Demonstrated ability to conduct rapid Proof of Concepts (POCs) using design thinking methodologies
Exposure of modern ML libraries (Hugging Face Transformers, LangChain, LlamaIndex), Spark/PySpark for large-scale data processing

Desireable criteria

Ability to lead others to draw conclusions from data and recommend actions.
Ability to succeed in a fast-paced environment, deliver high quality performance on multiple, simultaneous strategic, value-added tasks and priorities.
Relentless drive, determination, and self-learning ability.
Highly organized and attentive to detail.

How much do we pay (Base) $143,000 - $180,000 . Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.

Why join us?

At bpx, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly.

We offer a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision, and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401(k) matching program.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations.

Discover your place with us and help our business meet the challenges of reimagining and reinventing the future of energy.

Travel Requirement

Negligible travel should be expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

This position is a hybrid of office/remote working

Skills:

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
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THE PORT OF LONG BEACH IS SEEKING A MANAGER OF BUSINESS DEVELOPMENT,
(MANAGER OF BUSINESS INTELLIGENCE)
(This is an at-will position)
Salary Range:    $142,844.060 - $199,981.684

ABOUT US
The Port of Long Beach, one of the world's busiest seaports, is an international gateway for the reliable, efficient, and sustainable movement of goods and is a leader in environmental stewardship. Credited with moving approximately $200 billion in trade, the Port serves as a critical hub for international commerce and is a major transportation center. East Asian trade accounts for the bulk of Long Beach shipments. Port-related international trade has a wide-ranging economic impact, supporting millions of jobs that benefit the region and the entire country.
THE TEAM
The Business Development Division serves as the key contributor to the Port’s commercial growth by increasing cargo volume in all market segments and generating incremental revenue by extensively canvassing all possible opportunities. The purpose of the Business Development Division is to maximize Port of Long Beach revenue opportunities and sustain market share growth by engaging all customer segments, tracking industry trends, analyzing cargo data, identifying new business opportunities, anticipating market direction, and aligning our strategies to market conditions.
THE ROLE
Under the direction of the Director and Assistant Director of Business Development, the Manager of Business Intelligence will manage the Division’s business and market intelligence platforms development, implementation, reporting, and analytics activities. This includes continuous development of the Supply Chain Information Highway (SCIH) platform and related digital tools, utilizing existing data sources, researching, evaluating, and incorporating new data sources, as well as developing data analytics tools and reports to support the Business Development Division and Port Management in policy and decision-making activities. This person will also provide guidance in the further development of the Port’s digitalization projects, as well as critical project management. This position supports the division’s functions, including customer engagement, revenue and operational optimization, creating periodic reports and presentations, conducting data analytics, and other sales, marketing, and commercial activities.
CANDIDATE CONNECT (INFORMATION SESSION)
To learn more about this exciting career opportunity and the Port of Long Beach, please join our virtual inf  ormation session on  Tuesday,July 22, 2025, @ 5:00 pm PDT via  MS Teams. This is a unique opportunity to hear first-hand about the position, speak directly with hiring leaders, ask questions, and learn why the Port of Long Beach is your employer of choice! Candidates are not required to be on camera. Candidates who call in will not be able to see the presentation.  To join audio only, call +1 323-451-1087, Phone Conference ID:   948 153 35# .    Click here to join the meeting     .
HOW YOU GET TO CONTRIBUTE:
Manage key projects and programs, including, but not limited to, Supply Chain Information Highway (SCIH), business intelligence tools, Customer Relationship Management (CRM) systems, green shipping initiatives, and future digitization efforts.
Oversee SCIH by enhancing functionality, coordinating data sources, and managing partners, stakeholders, and vendors.
Lead projects from planning to delivery, including scope definition, budgeting, resource allocation, and timelines.
Support customer engagement by attending meetings, maintaining CRM data, and generating regular reports.
Assist sales and marketing efforts to grow cargo volume, market share, and revenue.
Recommend and implement strategies to optimize Port land use and revenue; collaborate on leasing and development opportunities.
Prepare reports, presentations, infographics, and respond to trade-related information requests.
Manage project and department budgets; negotiate and oversee project bids.
Represent the division through correspondence, meetings, tours, events, and conferences; respond to inquiries and engage with new/existing customers.
Supervise staff: hire, train, evaluate, and coach performance; address issues as needed.
Keep leadership informed on key updates; maintain strong working relationships with internal teams and external partners.
Serve as Acting Director in the absence of leadership.
Perform other duties as assigned.
EDUCATION, KNOWLEDGE & EXPERIENCE:
Bachelor’s Degree in Computer Science, Data Science, Business, or a related field (required).
Certification in data science, data management, or data analytics (required).
Minimum of five years of experience in database management, data analysis, business intelligence, or project management.
Minimum of three years of direct supervisory experience.
Must be able to obtain and maintain a TWIC.
TECHNICAL SKILLS NEEDED:
Broad knowledge of management principles and public administration practices.
Familiarity with goods movement, logistics, maritime, and business development terminology.
Ability to quickly understand the core needs of Port users and stakeholders.
Experience with Business Intelligence tools and market data systems (e.g., PIERS).
High proficiency in MS Office (Word, Excel, Outlook) and adaptability to new software.
Strong research, analytical, and problem-solving skills.
Excellent business writing, document preparation, and presentation skills.
DESIRABLE:
Master’s degree in Computer Science, Data Science, Business, or a related field.
Knowledge of public enterprise fund and port authority management.
Knowledge of consultant contracting and public records management.
Second language proficiency.
Familiarity with advanced Microsoft Excel, Access, SQL Server, or Python computer language is desired.

You will need strong project management skills, strategic thinking, and the ability to lead cross-functional teams in a dynamic environment. Success in this role requires clear communication, adaptability, and the ability to build effective relationships with stakeholders, customers, and internal teams. You must be comfortable working in both office and field settings, navigating varying physical conditions while maintaining a high level of professionalism, initiative, and attention to detail.
If you require accommodation because of a disability in order to participate in any phase of the application/selection process, please contact (562) 283-7500 or email   Careers@polb.com    .
The Port of Long Beach will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act. You are not required to disclose your criminal history or participate in a background check until you receive a conditional job offer. If the Port of Long Beach has concerns about a conviction that is directly related to the job after making a conditional job offer and conducting a background check, you will have the opportunity to explain the circumstances surrounding the conviction, provide evidence to mitigate concerns or challenge the accuracy of the background report. Find out more about the Fair Chance Act by visiting  https://calcivilrights.ca.gov/fair-chance-act or https://www.longbeach.gov/hr/about-us/talent-acquisition/the-fair-chance-act/.
The final filing date for this recruitment is Friday, August 1, 2025, at 4:30 p.m. PDT.
To be considered for this opportunity,   please submit a cover letter and resume with your application in PDF format. Incomplete applications (without a cover letter and resume) will not be considered.
Individuals who are most qualified for the position will be invited to participate in the selection process, which may include a work-related assessment to evaluate candidate qualifications further. First and second-round panel interviews are tentatively scheduled for  Wednesday, August 13, 2025  and Thursday, August 21, 2025 (in-person) . Candidates should ensure availability on both dates. The successful candidate will be appointed shortly thereafter. References will be completed for finalist candidates; an employment offer is contingent on conducting a comprehensive background check.
The Port reserves the right to extend the closing date without notice in order to accept additional applications. Those individuals determined to be most qualified for the position will be invited to participate in the selection process.

THE BENEFITS:
The Port of Long Beach has established an annual salary range of  $142,844.060  - $199,981.684 (placement depends on qualifications).
An attractive package of executive-level benefits is included with the opportunity to work in one of the most diverse and dynamic areas of the United States:
Auto Allowance – $550.00 per month
Executive Leave – 40 hours per year.
Retirement – For new employees, the CalPERS retirement formula is 2.0% at 62, coordinated with Social Security. Currently, member contribution is 8.00% for CalPERS, and 6.2% for social security, paid by the employee. For employees with previous CalPERS status, Central Payroll will review and determine the formula. For previous employees with a break in service, this could be 2.0% at 62, coordinated with Social Security.
Pay for Performance – Pay for Performance is awarded based on employee performance as demonstrated through achievement of individual goals, demonstration of required competencies, and available budget funds.
Deferred Compensation – The City matches a percentage of base salary for qualified members contributing to the 457(b) plan.
Group Health Insurance – Medical and dental options (HMO and PPO). Free vision coverage.
Life Insurance – City-paid life insurance policy of $20,000 plus executive insurance benefit equal to three times annual salary up to a maximum of $500,000.
Disability Insurance – City-paid short- and long-term disability insurance.
Vacation – Vacation is accrued at the equivalent of two weeks on an annual basis. Vacation can be used after six months of service. An employee’s vacation accrual may be adjusted upon hire to provide credit for previous full-time employment at a public service agency. Credit for public service shall only be given for completed years of service as a full-time permanent employee. Public Service credit shall not apply to any other benefits.
Sick Leave – Accrued at 8 hours per month. Accruals may be converted upon retirement to cash credit toward health and /or dental insurance premiums or retirement service credits.
Paid Parental Leave – After six (6) months of City employment, the City pays up to 30 consecutive days (160 hours) for eligible employees to take paid time to bond with the child upon birth, adoption, or foster placement of a child, up to the age of 17.
Holidays – 11 scheduled holidays per calendar year and four (4) personal holidays.
Education Reimbursement – Tuition reimbursement allows employees to obtain additional education or training.
Annual Physical – Eligible to receive an annual physical examination at the city's expense through the city-provided program.
Public Student Loan Forgiveness – As the Harbor Department of the City of Long Beach, a governmental agency, the Port of Long Beach is a qualifying employer for the Public Student Loan Forgiveness (PSLF) program.
529 college savings plan  – The ScholarShare529 plan is an account that allows employees to invest specifically for future education expenses through the Long Beach City Employees Federal Credit Union. Funds can be used from your 529 savings plan to send your grandkids, kids, or even yourself to any accredited public or private U.S. college or university – or two-year technical or vocational institution.
The Port of Long Beach is an Equal Opportunity Employer
We do not discriminate based on race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, age, status as an individual with a disability, or other applicable legally protected characteristics.
www.polb.com
For technical support with your governmentjobs.com application, please contact (855) 524-5627.
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Salary :  $142,844.06 - $199,981.68 Annually
Location :  City of Long Beach, CA
Job Type:  Unclassified - Full-Time, Permanent
Job Number:  HDE25-022
Department:  Harbor - (UC)
Division:  HARBOR-COMML SVCS-BUS DEVEL
Opening Date:  07/11/2025
Closing Date:  8/1/2025 4:30 PM Pacific

DESCRIPTION
THE PORT OF LONG BEACH IS SEEKING A MANAGER OF BUSINESS DEVELOPMENT,

(MANAGER OF BUSINESS INTELLIGENCE)

(This is an at-will position)

Salary Range:   $142,844.060 - $199,981.684
ABOUT US

The Port of Long Beach, one of the world's busiest seaports, is an international gateway for the reliable, efficient, and sustainable movement of goods and is a leader in environmental stewardship. Credited with moving approximately $200 billion in trade, the Port serves as a critical hub for international commerce and is a major transportation center. East Asian trade accounts for the bulk of Long Beach shipments. Port-related international trade has a wide-ranging economic impact, supporting millions of jobs that benefit the region and the entire country.
THE TEAM

The Business Development Division serves as the key contributor to the Port's commercial growth by increasing cargo volume in all market segments and generating incremental revenue by extensively canvassing all possible opportunities. The purpose of the Business Development Division is to maximize Port of Long Beach revenue opportunities and sustain market share growth by engaging all customer segments, tracking industry trends, analyzing cargo data, identifying new business opportunities, anticipating market direction, and aligning our strategies to market conditions.
THE ROLE

Under the direction of the Director and Assistant Director of Business Development, the Manager of Business Intelligence will manage the Division's business and market intelligence platforms development, implementation, reporting, and analytics activities. This includes continuous development of the Supply Chain Information Highway (SCIH) platform and related digital tools, utilizing existing data sources, researching, evaluating, and incorporating new data sources, as well as developing data analytics tools and reports to support the Business Development Division and Port Management in policy and decision-making activities. This person will also provide guidance in the further development of the Port's digitalization projects, as well as critical project management. This position supports the division's functions, including customer engagement, revenue and operational optimization, creating periodic reports and presentations, conducting data analytics, and other sales, marketing, and commercial activities.
CANDIDATE CONNECT (INFORMATION SESSION)

To learn more about this exciting career opportunity and the Port of Long Beach, please join our virtual information session on  Tuesday, July 22, 2025, @ 5:00 pm PDT via  MS Teams. This is a unique opportunity to hear first-hand about the position, speak directly with hiring leaders, ask questions, and learn why the Port of Long Beach is your employer of choice! Candidates are not required to be on camera. Candidates who call in will not be able to see the presentation.  To join audio only, call +1 323-451-1087, Phone Conference ID:   948 153 35# . Click here to join the meeting .

EXAMPLES OF DUTIES
HOW YOU GET TO CONTRIBUTE:
Manage key projects and programs, including, but not limited to, Supply Chain Information Highway (SCIH), business intelligence tools, Customer Relationship Management (CRM) systems, green shipping initiatives, and future digitization efforts.
Oversee SCIH by enhancing functionality, coordinating data sources, and managing partners, stakeholders, and vendors.
Lead projects from planning to delivery, including scope definition, budgeting, resource allocation, and timelines.
Support customer engagement by attending meetings, maintaining CRM data, and generating regular reports.
Assist sales and marketing efforts to grow cargo volume, market share, and revenue.
Recommend and implement strategies to optimize Port land use and revenue; collaborate on leasing and development opportunities.
Prepare reports, presentations, infographics, and respond to trade-related information requests.
Manage project and department budgets; negotiate and oversee project bids.
Represent the division through correspondence, meetings, tours, events, and conferences; respond to inquiries and engage with new/existing customers.
Supervise staff: hire, train, evaluate, and coach performance; address issues as needed.
Keep leadership informed on key updates; maintain strong working relationships with internal teams and external partners.
Serve as Acting Director in the absence of leadership.
Perform other duties as assigned.
REQUIREMENTS TO FILE
EDUCATION, KNOWLEDGE & EXPERIENCE:     Bachelor's Degree in Computer Science, Data Science, Business, or a related field (required).
Certification in data science, data management, or data analytics (required).
Minimum of five years of experience in database management, data analysis, business intelligence, or project management.
Minimum of three years of direct supervisory experience.
Must be able to obtain and maintain a TWIC.
TECHNICAL SKILLS NEEDED:     Broad knowledge of management principles and public administration practices.
Familiarity with goods movement, logistics, maritime, and business development terminology.
Ability to quickly understand the core needs of Port users and stakeholders.
Experience with Business Intelligence tools and market data systems (e.g., PIERS).
High proficiency in MS Office (Word, Excel, Outlook) and adaptability to new software.
Strong research, analytical, and problem-solving skills.
Excellent business writing, document preparation, and presentation skills.
DESIRABLE:     Master's degree in Computer Science, Data Science, Business, or a related field.
Knowledge of public enterprise fund and port authority management.
Knowledge of consultant contracting and public records management.
Second language proficiency.
Familiarity with advanced Microsoft Excel, Access, SQL Server, or Python computer language is desired.
You will need strong project management skills, strategic thinking, and the ability to lead cross-functional teams in a dynamic environment. Success in this role requires clear communication, adaptability, and the ability to build effective relationships with stakeholders, customers, and internal teams. You must be comfortable working in both office and field settings, navigating varying physical conditions while maintaining a high level of professionalism, initiative, and attention to detail.

If you require accommodation because of a disability in order to participate in any phase of the application/selection process, please contact (562) 283-7500 or email  Careers@polb.com .

The Port of Long Beach will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act. You are not required to disclose your criminal history or participate in a background check until you receive a conditional job offer. If the Port of Long Beach has concerns about a conviction that is directly related to the job after making a conditional job offer and conducting a background check, you will have the opportunity to explain the circumstances surrounding the conviction, provide evidence to mitigate concerns or challenge the accuracy of the background report. Find out more about the Fair Chance Act by visiting  https://calcivilrights.ca.gov/fair-chance-act or https://www.longbeach.gov/hr/about-us/talent-acquisition/the-fair-chance-act/.

SELECTION PROCEDURE
The final filing date for this recruitment is Friday, August 1, 2025, at 4:30 p.m. PDT.

To be considered for this opportunity,  please submit a cover letter and resume with your application in PDF format. Incomplete applications (without a cover letter and resume) will not be considered.

Individuals who are most qualified for the position will be invited to participate in the selection process, which may include a work-related assessment to evaluate candidate qualifications further. First and second-round panel interviews are tentatively scheduled for  Wednesday, August 13, 2025   and Thursday, August 21, 2025 (in-person) . Candidates should ensure availability on both dates. The successful candidate will be appointed shortly thereafter. References will be completed for finalist candidates; an employment offer is contingent on conducting a comprehensive background check.

The Port reserves the right to extend the closing date without notice in order to accept additional applications. Those individuals determined to be most qualified for the position will be invited to participate in the selection process.
THE BENEFITS:

The Port of Long Beach has established an annual salary range of  $142,844.060   - $199,981.684  (placement depends on qualifications).

An attractive package of executive-level benefits is included with the opportunity to work in one of the most diverse and dynamic areas of the United States:     Auto Allowance  - $550.00 per month
Executive Leave  - 40 hours per year.
Retirement  - For new employees, the CalPERS retirement formula is 2.0% at 62, coordinated with Social Security. Currently, member contribution is 8.00% for CalPERS, and 6.2% for social security, paid by the employee. For employees with previous CalPERS status, Central Payroll will review and determine the formula. For previous employees with a break in service, this could be 2.0% at 62, coordinated with Social Security.
Pay for Performance  - Pay for Performance is awarded based on employee performance as demonstrated through achievement of individual goals, demonstration of required competencies, and available budget funds.
Deferred Compensation  - The City matches a percentage of base salary for qualified members contributing to the 457(b) plan.
Group Health Insurance  - Medical and dental options (HMO and PPO). Free vision coverage.
Life Insurance  - City-paid life insurance policy of $20,000 plus executive insurance benefit equal to three times annual salary up to a maximum of $500,000.
Disability Insurance  - City-paid short- and long-term disability insurance.
Vacation  - Vacation is accrued at the equivalent of two weeks on an annual basis. Vacation can be used after six months of service. An employee's vacation accrual may be adjusted upon hire to provide credit for previous full-time employment at a public service agency. Credit for public service shall only be given for completed years of service as a full-time permanent employee. Public Service credit shall not apply to any other benefits.
Sick Leave  - Accrued at 8 hours per month. Accruals may be converted upon retirement to cash credit toward health and /or dental insurance premiums or retirement service credits.
Paid Parental Leave  - After six (6) months of City employment, the City pays up to 30 consecutive days (160 hours) for eligible employees to take paid time to bond with the child upon birth, adoption, or foster placement of a child, up to the age of 17.
Holidays  - 11 scheduled holidays per calendar year and four (4) personal holidays.
Education Reimbursement  - Tuition reimbursement allows employees to obtain additional education or training.
Annual Physical  - Eligible to receive an annual physical examination at the city's expense through the city-provided program.
Public Student Loan Forgiveness  - As the Harbor Department of the City of Long Beach, a governmental agency, the Port of Long Beach is a qualifying employer for the Public Student Loan Forgiveness (PSLF) program.
529 college savings plan  - The ScholarShare529 plan is an account that allows employees to invest specifically for future education expenses through the Long Beach City Employees Federal Credit Union. Funds can be used from your 529 savings plan to send your grandkids, kids, or even yourself to any accredited public or private U.S. college or university - or two-year technical or vocational institution.
The Port of Long Beach is an Equal Opportunity Employer

We do not discriminate based on race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, age, status as an individual with a disability, or other applicable legally protected characteristics.

www.polb.com

For technical support with your governmentjobs.com application, please contact (855) 524-5627.
Employee Benefits
The City of Long Beach offers its employees opportunities to grow personally and professionally. As a permanent employee, you are eligible to receive fringe benefits that include:     Retirement:  California Public Employees' Retirement System (PERS) defined benefit retirement plan, which is coordinated with Social Security. The benefit is 2.5% @55 for "Classic" members and 2%@62 for new members as defined by PEPRA. Subject to employee contribution. Both the City and the employee contributes toward CalPERS retirement contributions. The city also participates in Social Security.
Health and Dental Insurance:  The City offers the choice of HMO and PPO plans. The city pays major portion of the premium for employee and dependents depending on the health/ dental plan selected.
Life Insurance:  City-paid term life insurance policy equal to three (3) times annual salary to a maximum of $500,000.
Disability Insurance:  City-paid short-term and long-term disability insurance.
Management Physical:  Annual City-paid physical examination.
Vacation:  Twelve (12) vacation days after the first year of service; 15 days after four years, six months of service; 20 days after 19 years, six months of service.
Executive Leave:  Forty (40) hours Executive Leave per year. The City Manager has discretion to grant an additional 40 hours each year.
Sick Leave:  One day earned per month; unlimited accumulation; conversion upon retirement to cash credit toward health and/or dental insurance premiums, or to pension credits.
Holidays:  Eleven (11) designated holidays per year, plus four personal holidays to be used at the employee's discretion.
Transportation Allowance:  Monthly allowance is allocated by classifications below;   Department Head $650.00
Deputy Director/Manager $550.00
Chief of Staff / Administrator / Principal DCA: $450.00
Executive Support Staff: $300.00

Deferred Compensation Plan:  Optional for employee contribution to a supplementary retirement savings program available through Mission Square Retirement formerly ICMA-RC Retirement Corporation). City contributes 1% of employee's base pay to the employee's 401(a) plan; effective September 30, 2022, the City will contribute 2% of employee's base pay to the employee's 401(a) account. Employees may opt to contribute up to the IRS annual limits as well.
Flexible Spending Account (FSA):  Optional election for employees to reduce taxable income for payment of allowable childcare or medical expenses.
Flexible/Hybrid Work Schedule:  Available (subject to City Manager approval).
Paid Parental Leave:  After six (6) months of City employment; up to 30 calendar days (160 hours) of PPL, taken in full-day increments, in connection with the birth, adoption, or foster placement of a child, up to the age of seventeen (17).
Management positions -  Refer to the Job Posting brochure included in the job posting.
01

Do you have a Bachelor's Degree in Computer Science, Data Science, Business, or a related field?    Yes
No

02

Do you have a certification in data science, data management, or data analytics?    Yes
No

03

Do you have a minimum of five years of experience in database management, data analysis, business intelligence, or project management?    Yes
No

04

Do you have a minimum of three years of direct supervisory experience?    Yes
No

05

To be considered for this opportunity, a cover letter and resume is required. Incomplete applications (without a cover letter and resume) will not be considered. Did you attach a cover letter and resume to your application?    Yes
No

Required Question

THE PORT OF LONG BEACH IS SEEKING A MANAGER OF BUSINESS DEVELOPMENT, (MANAGER OF BUSINESS INTELLIGENCE)(This is an at-will position) Salary Range: $142,844.060 - $199,981.684 ABOUT US - The Port of Long Beach, one of the world's busiest seaports, is Manager, Business, Business Development, Intelligence, Development, Data Science

Question	Topic	Difficulty	Ask Chance
Slacking Employees Salaries	SQL	Medium	Very High
Player Analysis	SQL	Easy	Very High
Sequentially Fill in Integers	SQL	Hard	Very High

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