The Afresh Data Analyst interview guide, interview questions, salary data, and interview experiences.

Afresh Data Analyst Interview Guide

Getting ready for an Data Analyst interview at Afresh? The Afresh Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Afresh Data Analyst roles.</li>
<li>Gain insights into the Data Analyst interview process at Afresh.</li>
<li>Practice real Afresh Data Analyst interview questions.</li>
</ul>
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 Afresh Data Analyst interview.


Getting ready for an Data Analyst interview at Afresh? The Afresh Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Afresh Data Analyst roles.
- Gain insights into the Data Analyst interview process at Afresh.
- Practice real Afresh Data Analyst 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 Afresh Data Analyst interview.
        

Overview

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

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

Afresh Data Analyst Interview Process

Let’s say your team at Spotify wants to determine if a recently launched feature, curated playlists, has increased user engagement. However Spotify launched the feature without an A/B test.

How would you measure the effect of curated playlists on user engagement?

How would you establish causal inference to measure the effect of curated playlists on engagement without A/B?

Causal Inference Without A/B

As part of the financial management in a large corporation, the CFO wants to review the expenses in all departments for the previous financial year (2022).

Write a SQL query to calculate the total expenditure for each department in 2022. Additionally, for comparison purposes, return the average expense across all departments in 2022.

Note: The output should include the department name, the total expense, and the average expense (rounded to 2 decimal places). The data should be sorted in descending order by total expenditure.

<h3>Example:</h3>

Input:

<code>departments</code> table

<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>
</tbody>
</table>
<code>expenses</code> table

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

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

<tr>
<td>department_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>amount</td>
<td>FLOAT</td>
</tr>

<tr>
<td>date</td>
<td>DATE</td>
</tr>
</tbody>
</table>
Output:

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

<tbody>
<tr>
<td>department_name</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>total_expense</td>
<td>FLOAT</td>
</tr>

<tr>
<td>average_expense</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Calculate total and average expenses for each department.

Department Expenses

The probability that it will rain tomorrow is dependent on whether or not it is raining today and whether or not it rained yesterday.

If it rained yesterday and today, there is a 20% chance it will rain tomorrow. If it rained one of the days, there is a 60% chance it will rain tomorrow. If it rained neither today nor yesterday, there is a 20% chance it will rain tomorrow.

Given that it is raining today and that it rained yesterday, write a function <code>rain_days</code> to calculate the probability that it will rain on the nth day after today.

Example:

Input:

<pre tabindex="0" class="chroma"><code>n=5
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def rain_days(n) -&gt; 0.39968
</code></pre>

Given that it is raining today and that it rained yesterday, write a function to calculate the probability that it will rain on the nth day after today.

Rain in N Days

Afresh Data Analyst Interview Questions

Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!
About the Role
The Prediction, Optimization, and Planning (POP) team builds Afresh's core replenishment technology. Our models are directly responsible for ordering millions of dollars of fresh inventory across the world every day. Fresh food ordering is an extremely complex high-dimensional decision-making problem. We face the complex challenges presented by decaying product, uncertain shelf lives, varying consumer demand, stochastic arrival times, extreme weather events, and tight performance constraints (to name a few). We tackle these problems with a mix of machine learning, large-scale simulation, and optimization technologies.
As a Senior Applied Scientist at Afresh, you will take your existing knowledge of forecasting, simulation, and stochastic optimization and apply it to the challenging and important problem of perishable inventory control. You will research, implement, and rigorously validate improvements to our core replenishment system. This will include modeling consumer demand, item-level perishability, and complex multi-echelon supply chains. We do not require an explicit background in operations research for this position and welcome applicants from fields with similar problems.
Your work will be visible from day one, will make a substantial impact on decreasing food waste, and will lead to fresher, healthier produce for millions of people across the world.
You will work on improving the core models of our system: demand forecasting, inventory optimization, and ordering policy. You will also assist with research development for new product and business challenges. You will model the complex problems of inventory decay, promotions, price elasticity, and inventory uncertainty, and implement solutions to multi-stage and multi-echelon inventory optimization problems.
In your first 3 months, you will acquire an encyclopedic knowledge of perishable inventory control and Afresh's core decision making problem. You will gain proficiency in our data manipulation, transformation, and simulation tools, and you'll test an experimental improvement to our demand forecasting, ordering, or simulation models.
By the end of your first 6 months, you will have proposed, implemented, and rigorously validated an improvement to our core modeling system.
By the end of your first year, you will have led the implementation of fundamental changes to our core system and led research into new product areas (warehouse level replenishment, production planning).
We need to make optimal ordering decisions for millions of items for weeks at a time, and our system must be fault-tolerant to an extreme. Our partners rely on our system to order millions of dollars of inventory every week, and so your code must be rigorously validated, tested, and bug-proof.
Skills and Experience
The following represents attributes our ideal candidate possesses. We encourage all highly qualified candidates to apply, even if they do not fulfill all the listed criteria
A bachelors and 4+ years of industry experience, a masters with 2+ year of industry experience, or a PhD in a related field where you worked on systems that deal with large-scale decision making under uncertainty. Some possible prior research fields are machine learning, inventory optimization, climate modeling, genetics, supply chain management, computational biology, network optimization, physics, forecasting, mathematics, game theory, decision analysis, transportation engineering, environmental science, systems engineering, control engineering. or stochastic and approximate dynamic programming.
Excellent communication and presentation skills. You should be able to explain complex mathematical ideas to product teams in plain English and easily translate business requirements into constrained optimization problems.
Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc).
About Afresh

Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.

Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.
Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.

Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.
Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI. However, there may be key roles that will require a candidate/employee to be local to our San Francisco, CA office. In which case this requirement will be included in the job posting details under "Skills and experience" for reference.
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2 days ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!

About the Role

The Prediction, Optimization, and Planning (POP) team builds Afresh's core replenishment technology. Our models are directly responsible for ordering millions of dollars of fresh inventory across the world every day. Fresh food ordering is an extremely complex high-dimensional decision-making problem. We face the complex challenges presented by decaying product, uncertain shelf lives, varying consumer demand, stochastic arrival times, extreme weather events, and tight performance constraints (to name a few). We tackle these problems with a mix of machine learning, large-scale simulation, and optimization technologies.

As a Senior Applied Scientist at Afresh, you will take your existing knowledge of forecasting, simulation, and stochastic optimization and apply it to the challenging and important problem of perishable inventory control. You will research, implement, and rigorously validate improvements to our core replenishment system. This will include modeling consumer demand, item-level perishability, and complex multi-echelon supply chains. We do not require an explicit background in operations research for this position and welcome applicants from fields with similar problems.

Your work will be visible from day one, will make a substantial impact on decreasing food waste, and will lead to fresher, healthier produce for millions of people across the world.

You will work on improving the core models of our system: demand forecasting, inventory optimization, and ordering policy. You will also assist with research development for new product and business challenges. You will model the complex problems of inventory decay, promotions, price elasticity, and inventory uncertainty, and implement solutions to multi-stage and multi-echelon inventory optimization problems.
In your first 3 months, you will acquire an encyclopedic knowledge of perishable inventory control and Afresh's core decision making problem. You will gain proficiency in our data manipulation, transformation, and simulation tools, and you'll test an experimental improvement to our demand forecasting, ordering, or simulation models.
By the end of your first 6 months, you will have proposed, implemented, and rigorously validated an improvement to our core modeling system.
By the end of your first year, you will have led the implementation of fundamental changes to our core system and led research into new product areas (warehouse level replenishment, production planning).
We need to make optimal ordering decisions for millions of items for weeks at a time, and our system must be fault-tolerant to an extreme. Our partners rely on our system to order millions of dollars of inventory every week, and so your code must be rigorously validated, tested, and bug-proof.

Skills and Experience

The following represents attributes our ideal candidate possesses. We encourage all highly qualified candidates to apply, even if they do not fulfill all the listed criteria

A bachelors and 4+ years of industry experience, a masters with 2+ year of industry experience, or a PhD in a related field where you worked on systems that deal with large-scale decision making under uncertainty. Some possible prior research fields are machine learning, inventory optimization, climate modeling, genetics, supply chain management, computational biology, network optimization, physics, forecasting, mathematics, game theory, decision analysis, transportation engineering, environmental science, systems engineering, control engineering. or stochastic and approximate dynamic programming.
Excellent communication and presentation skills. You should be able to explain complex mathematical ideas to product teams in plain English and easily translate business requirements into constrained optimization problems.
Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc).

About Afresh

Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.

Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.

Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company's values of proactivity, kindness, candor, and humility.

Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.

Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI. However, there may be key roles that will require a candidate/employee to be local to our San Francisco, CA office. In which case this requirement will be included in the job posting details under "Skills and experience" for reference.
Seniority level    Seniority level Mid-Senior level
Employment type    Employment type Full-time
Job function    Job function Research, Analyst, and Information Technology
Industries Software Development
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2 days ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!

About the Role

As a Staff Data Engineer, you'll play a key role in scaling and improving how we integrate and process customer data. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools to make customer integrations faster, more accurate, and more scalable. You'll also contribute to the development of new features that support our expanding product lines. Your work will have a direct and visible impact on our ability to onboard customers easier and quicker and power our machine learning grocery solution.

What to Expect

Build tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data.
Create robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use.
Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features.
Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations.
Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need.
Investigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs.
Support team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback.

Skills and Experience

We encourage all highly-qualified candidates to apply, even if they don't meet every listed qualification.

Significant experience designing and maintaining ETLs that process large-scale datasets.
Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT.
Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions.
A focus on practical outcomes—you're skilled at balancing technical rigor with the need to get things done.
Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them.
A knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort.
Excellent communication skills—you're able to explain your ideas clearly to both technical and non-technical audiences.
Proven leadership in technical projects, with a willingness to mentor and help others grow.

Why Work Here

Join a mission-driven company reducing millions of pounds of food waste in grocery stores per year.
Work on challenging, real-world problems that have a direct impact on our customers.
Be part of a collaborative, supportive team where your ideas are valued and acted on.
Use cutting-edge tools and platforms to solve meaningful data challenges.

We're looking for someone who thrives on tackling complex data problems and takes pride in building systems that work seamlessly at scale. If that sounds like you, we'd love to hear from you!

Salary Range in CAD:

About Afresh

Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.

Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.

Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company's values of proactivity, kindness, candor, and humility.

Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.

Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI. However, there may be key roles that will require a candidate/employee to be local to our San Francisco, CA office. In which case this requirement will be included in the job posting details under "Skills and experience" for reference.
Seniority level    Seniority level Mid-Senior level
Employment type    Employment type Full-time
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Industries Software Development
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<h3>Job Description</h3><div>Job Description<div>Salary: About Us At ReachMobi, data drives all our decision-making. Data Analysts work across all aspects of their App Studio to help shape the future of the product by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for growth, from enhancing advertising efficacy to studying user behavior. Identifying the problem is only half the job; you also figure out the solution and analyze the results. How You'll Make An Impact: <ul><li>Collaborating closely with App Studio Managers to predict user lifetime value.</li><li>Analyze marketing UA performance and conduct deep dive analysis.</li><li>Research and develop analyses, forecasting and optimization across ads quality, search quality, end-user behavioral modeling, and live experiments.</li><li>Provides recommendations on how changes will impact the business.</li><li>Analyze product data to provide insights to increase app engagement, conversion, and retention.</li><li>Analyze LTV/CAC drivers to support business growth.</li></ul> What You Need: <ul><li>2 years of experience as a Data Analyst focusing on User Acquisition preferred</li><li>Practical experience with Excel (pivot tables, vlookup, visualization, etc.)</li><li>Strong understanding of SQL Querying</li><li>Experience articulating business questions and using mathematical techniques to arrive at an answer using available data</li><li>Ability to select the right statistical tools given a data analysis problem.</li></ul> Why ReachMobi? <ul><li>We offer a fun, work hard play hard culture</li><li>No dress code policy! Wear your flip flops and shorts in the summer</li><li>Hybrid schedule</li><li>Unlimited Paid Time Off along with 10 paid holidays</li><li>401k match up to 4%, Health/Vision/Dental, Flexible Spending Accounts</li><li>Life Insurance, AD&D, STD and LTD 100% employer paid</li><li>Sponsorship available</li><li>Complimentary snacks, beverages, beer fridge, as well as catered lunches</li><li>Located next to world-class shopping and restaurants</li><li>Regular company-sponsored social events to connect with your team and fellow colleagues! - check out ourInstagramto see more</li><li>This is an opportunity to be with an industry leading company that continues to experience tremendous growth</li></ul> ReachMobi lives at the junction where the science of cutting-edge technology meets with audience engagement to create a new and powerful force that fosters real, long-term relationships with users. We pride ourselves on leading the industry in mobile engagement and monetization. Weve gathered a one-for-all minded, world-class team of innovative developers, marketing ninjas, imaginative designers and content developers whose zeal for what they do is slightly north of fanatical. Seriously obsessive.</div></div>

<h3>Job Description</h3><div>Job Description<div>Position Overview: All Lines Technology has an immediate opening for an Application Analyst in Pittsburgh! The Application Analyst is responsible for ensuring that IT provides optimized designs, development, and support our client’s business in support of strategic imperatives. The incumbent shall adhere to development, security, and operations (DevSecOps) standards at every phase of development lifecycle. The incumbent is also responsible for providing production maintenance and support, design, and application documentation, and partnering with key business stakeholders, project management, security, and operations team to ensure holistic and successful development, deployment, and support of application.   Primary Responsibilities:<ul><li>Uses their competencies in business requirements, application administration and performance and provides Application support. Is expected to work at a high level in all phases of hardware, software and application activities providing technical and business support to a defined end user group and monitoring system health, reviewing logs and reports and escalating issues to vendors.</li><li>Provides assistance to analyze, implement, modify and monitor application performance and monitors server applications and performance. Participates in discussions on system requirements and objectives based on business needs and performance goals. Identifies and explains application performance issues. Supports business processing requirements and supports installations and upgrades.</li><li>Uses basic or emerging Technology project management skills to deliver the various corporate initiatives as part of the Technology project team. Uses analytical skills to evaluate business implications of application performance. Participates in the evaluation of the potential of the application platforms to support evolving business needs and growth.</li><li>Communicates with lines of business (LOB) users and Technology and reports issues with reliability and performance of business applications. Interacts with the BA/SA and NE to achieve LOB goals and objectives and uses the performance data to help solve capacity, limitations and performance issues and reports user experiences with system hardware and software. </li><li>Assists to solve basic business problems with hardware, software and databases. Monitors system to achieve optimum performance and minimize or eliminate down time.  Conducts routine hardware and software audits for proactive approach.</li><li>Acts as a vendor liaison for assigned applications. Follows change control procedures and participates in Change Control meetings. Works with Technology, Project Management Offices, LOB's, vendors and external support personnel, especially while troubleshooting.</li><li>Performs other related duties and projects as assigned.</li></ul>  Skills Required to Perform the Primary Responsibilities of this Position:<ul><li><ul><li>Excellent customer service skills   </li><li>Ability to use general office equipment   </li><li>Ability to work and multi-task in a fast paced environment   </li><li>Excellent organizational, analytical and interpersonal skills   </li><li>Detail-oriented   </li><li>Basic business knowledge, understanding of systems life cycle, systems integration, data flows, requirements elicitation, testing, reporting tools and relational database concepts</li><li>Competent in MS Office applications</li><li>SQL</li><li>SQL Store Procedure Development</li><li>GIT/Version Control</li><li>ETL Development (SQL Integrations Services (SSIS), or other ETL tool)</li><li>Databases (SQL, Oracle, MySql)</li><li>Programming (Web, .Net, Visual Basic, ASP.NET, Javascript)</li><li>BI (SQL Reporting Services, PowerBI)</li></ul></li></ul>  Licensures/Certifications Required to Perform the Primary Responsibilities of this Position:<ul><li><ul><li>Systems and Business Analysis classes including requirements elicitation and project management.</li></ul></li></ul>Powered by JazzHRsKzS4tFsrk</div></div>

ABOUT USWe are a fast-growing, close-knit, dynamic, and successful Digital Services Company that specializes in providing support to large multinational companies for SEO, Product & Web Content Management, Social Media Management, Performance Marketing, E-Commerce Management, CRM & E-Mail Marketing Automation, DX & Development, Data Management & Analytics, Project Management, Digital Consultancy, and Recruitment. As a multinational Dutch company, we have offices in Amsterdam, Istanbul, Lisbon, Kuala Lumpur, Bogota & Portland. With our exceptionally talented & diverse team, and our A+ client portfolio, the world is our oyster! We are looking for a Data Analyst (Adobe) to join our team. RESPONSIBILITIES<ul><li>Lead Adobe Launch implementation projects, managing tagging strategy and deployment across websites and mobile applications.</li><li>Develop and maintain robust tracking plans ensuring consistent and accurate data collection across digital platforms.</li><li>Design, build, and maintain interactive dashboards and detailed reports within Adobe Analytics Workspace and Report Builder to monitor KPIs and marketing effectiveness.</li><li>Collaborate with marketing and product teams to analyze user behavior, campaign performance, and customer journeys leveraging Adobe Analytics and CJA.</li><li>Support advanced analytics projects such as Marketing Mix Modeling (MMM) and multi-touch attribution to optimize media spend and campaign impact.</li><li>Validate analytics data quality, troubleshoot discrepancies, and resolve technical issues related to tag deployment and data processing.</li><li>Integrate Adobe Analytics data with other marketing and CRM systems to deliver holistic insights.</li><li>Provide guidance on best practices for digital tagging, analytics governance, and compliance with data privacy regulations.</li><li>Stay current with Adobe Experience Cloud product updates and analytics industry trends to continuously enhance analytics capabilities.</li></ul> QUALIFICATIONS<ul><li>Bachelor’s degree in Marketing Analytics, Data Science, Business, or a related field.</li><li>2+ years of hands-on experience with Adobe Experience Cloud, including Adobe Launch for tag management and Adobe Analytics for reporting and analysis.</li><li>Solid expertise in Adobe Analytics implementation and reporting, including Analysis Workspace, Report Builder, and API integration.</li><li>Strong knowledge of Adobe Launch for deploying and managing tags across web and mobile platforms, ensuring accurate data collection.</li><li>Experience working with Adobe Analytics Web and Mobile SDKs to track user interactions and behavior across devices.</li><li>Familiarity with marketing measurement techniques, including Marketing Mix Modeling (MMM) and multi-touch attribution.</li><li>Knowledge of Adobe Customer Journey Analytics (CJA) for integrating and analyzing cross-channel customer data.</li><li>Proficient in SQL, JavaScript, and scripting languages for custom data manipulation, tracking validation, and troubleshooting.</li><li>Experience designing and maintaining dashboards, custom reports, calculated metrics, segments, and alerts in Adobe Analytics.</li><li>Understanding of data governance, privacy compliance (e.g., GDPR), and best practices in digital analytics tracking.</li><li>Strong communication and collaboration skills to work closely with marketing, product, engineering, and data science teams.</li></ul> WHAT WE OFFERMental Health & Support????????‍♀️: Free company subscription to our mental health & support partner ‘’Openup’’.Referral Program????????: Our referral program ‘’Friends2Work’’ encourages our employees to refer their friends followed by a cash award once they are hired.Self-Improvement????????: Access to numerous online courses and training in our own in-house training platform NMQ Academy & access to our exclusive Mentorship Program provided by our brilliant senior peers.Team Environment????: We give you to opportunity to work with global brands together with a fun, diverse, and dynamic team and become a part of a global success story! If you are interested in joining our team, please apply with your CV in English. By applying to this job advertisement, you accept that you have shared your personal data within the scope of the clarification text we have provided at www.nmqdigital.com NMQ Digital is proud to be an equal-opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Don't be discouraged if you feel that you don’t fully meet every single one of the requirements for a particular role, there is always room for growth in NMQ!

Job Summary:Our client is seeking a Data Analyst to join their team! This position is located in Haslet, Texas. Duties:<ul><li>Manage and support equipment and inventory across nationwide markets using SAP to ensure availability for growth and reliability</li><li>Create and process daily Outbound Delivery Documents to facilitate efficient equipment distribution</li><li>Perform weekly maintenance of aged inventory in distribution centers to optimize inventory flow and minimize waste</li><li>Collaborate with Equipment Engineers and internal business partners to understand requirements and deliver timely, effective solutions</li><li>Execute accurate data entry and conduct data analysis to support operational and strategic business decisions</li><li>Assist in managing project timelines by tracking milestones, identifying risks or bottlenecks, and ensuring timely delivery of initiatives</li><li>Develop and deliver reporting that provides visibility into project queues, inventory status, and operational performance</li><li>Drive continuous process improvements by identifying inefficiencies and implementing best practices to enhance team productivity and overall workflow</li></ul> Desired Skills/Experience:<ul><li>Associate’s degree or 2+ years of relevant work experience</li><li>2+ years of experience working with SAP with a high level of proficiency</li><li>Strong proficiency in Microsoft Excel and Google Sheets</li><li>SAP Certified Associate certificate</li><li>Project Management Professional certification</li><li>Experience working in a telecommunications or wireless organization</li><li>Proven ability to work independently with accuracy and attention to detail</li><li>Strong project planning, time management, and problem-solving skills</li><li>Familiarity with project management tools such as Jira or SmartSheets</li><li>Strong analytical skills with the ability to gather, organize, and interpret data effectively</li></ul> Benefits:<ul><li>Medical, Dental, & Vision Insurance Plans</li><li>Employee-Owned Profit Sharing (ESOP)</li><li>401K offered</li></ul> The approximate pay range for this position is between $25.00 and $36.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

ABOUT USWe are a fast-growing, close-knit, dynamic, and successful Digital Services Company that specializes in providing support to large multinational companies for SEO, Product & Web Content Management, Social Media Management, Performance Marketing, E-Commerce Management, CRM & E-Mail Marketing Automation, DX & Development, Data Management & Analytics, Project Management, Digital Consultancy, and Recruitment. As a multinational Dutch company, we have offices in Amsterdam, Istanbul, Lisbon, Kuala Lumpur, Bogota & Portland. With our exceptionally talented & diverse team, and our A+ client portfolio, the world is our oyster! We are looking for a Data Analyst (Audience) to join our team. Responsibilities<ul><li>Build rule-based and event-triggered audience segments using behavioral, transactional, and CRM data.</li><li>Manage dynamic audience lists for lifecycle marketing, retention campaigns, and acquisition efforts.</li><li>Partner with media and marketing teams to align audience design with campaign strategy and experimentation (e.g., A/B testing, holdouts).</li><li>Enable omni-channel audience consistency across web, app, email, paid media, and CRM tools.</li><li>Integrate cross-platform data from CRM systems and web analytics tools (e.g., GA4, Adobe Analytics) into segmentation workflows.</li><li>Automate audience refresh logic via SQL, Python, or CDP platforms (e.g., Adobe RT-CDP, Segment).</li><li>Collaborate with engineering teams to scale audience workflows via cloud data platforms (e.g., BigQuery, Snowflake).</li><li>Establish rules and monitoring processes for audience data accuracy, freshness, and completeness.</li><li>Develop real-time data triggers based on user actions (e.g., product views, purchases) to update segments dynamically.</li><li>Implement identity resolution and deduplication strategies to maintain segment integrity across touchpoints.</li><li>Provide audience-level campaign insights using KPIs such as CTR, conversion rate, ROAS, and engagement depth.</li><li>Support marketing effectiveness analyses by segment type, channel, and lifecycle stage.</li><li>Partner with analytics teams to define benchmarks and optimization strategies.</li></ul> Qualifications<ul><li>3+ years in digital marketing analytics, audience management, or campaign operations.</li><li>Exposure to real-time audience streaming, data warehouses, and audience data lake strategies.</li><li>Background in B2C sectors such as retail, eCommerce, or subscription services preferred.</li><li>Strong experience in SQL and familiarity with Python or another scripting language.</li><li>Hands-on experience with marketing tools and data platforms (e.g., GA4, Adobe Analytics, Adobe Experience Platform, Google Cloud, CDPs).</li><li>Knowledge of campaign orchestration tools (e.g., Salesforce Marketing Cloud, GMP, Adobe Campaign).</li><li>Proven ability to work with large, cross-functional datasets for targeting and personalization use cases.</li><li>Understanding of cross-channel audience delivery and common challenges in real-time orchestration.</li><li>Ability to translate marketing objectives into audience strategy and data logic.</li></ul> WHAT WE OFFERMental Health & Support????????‍♀️: Free company subscription to our mental health & support partner ‘’Openup’’.Referral Program????????: Our referral program ‘’Friends2Work’’ encourages our employees to refer their friends followed by a cash award once they are hired.Self-Improvement????????: Access to numerous online courses and training in our own in-house training platform NMQ Academy & access to our exclusive Mentorship Program provided by our brilliant senior peers.Team Environment????: We give you to opportunity to work with global brands together with a fun, diverse, and dynamic team and become a part of a global success story! If you are interested in joining our team, please apply with your CV in English. By applying to this job advertisement, you accept that you have shared your personal data within the scope of the clarification text we have provided at www.nmqdigital.com NMQ Digital is proud to be an equal-opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Don't be discouraged if you feel that you don’t fully meet every single one of the requirements for a particular role, there is always room for growth in NMQ!

<div data-field="description" class="jd-description">Job Title: Data Analyst FLSA Status: Exempt Department: North America Environmental Health and Safety Reports to: Director of EHS and Enterprise StrategyFlex Work Eligible! This position qualifies for the Flexible Work Policy. Employees receive 75 workdays annually to work remote! The initial amount of days is prorated for the first year based on start date.  GENERAL DESCRIPTION / PURPOSE: The EHS Data Analyst is responsible for collecting, cleaning, analyzing, and interpreting Environmental Health and Safety (EHS) data to support compliance, performance improvement, and strategic decision-making. This role standardizes and automates EHS dashboards and reporting tools, enabling data-driven insights that enhance workplace safety and operational excellence. ESSENTIAL JOB FUNCTIONS: Data Collection & Analysis <ul> <li>Gather, clean, and validate data from various internal and external sources.</li> <li>Conduct statistical analyses to identify trends, patterns, and anomalies in EHS data.</li> <li>Maintain and enhance systems and databases to improve data quality and accessibility.</li> </ul> Dashboard Development & Reporting <ul> <li>Design, develop, and maintain standardized dashboards and automated reports using tools such as Power BI or Tableau.</li> <li>Monitor EHS metrics (e.g., TRIR, near-miss reports, training completion) and provide regular updates to leadership.</li> <li>Ensure reporting accuracy and consistency across business units.</li> </ul> Insight Communication & Strategy Support <ul> <li>Translate technical data into actionable insights for EHS and cross-functional teams.</li> <li>Present findings in a clear, concise, and non-technical manner to a variety of audiences.</li> <li>Support enterprise initiatives by aligning data insights with strategic safety goals.</li> </ul></div><div data-field="minimumQualification" class="jd-minimumQualification">REQUIRED QUALIFICATIONS: Education: Bachelors degree in statistics, mathematics, computer science, or economics. Experience: 5+ years of experience as a Data Analyst Licenses/Certifications: Google Data Analytics Professional Certificate or the Microsoft Certified: Data Analyst AssociateIn lieu of education 9+ years of equivalent combination of education and experience. Knowledge, Skills, and Abilities: <ul> <li>Database management: knowledge of how to query and retrieve data using SQL</li> <li>Some proficiency in programming languages</li> <li>Strong analytical and critical thinking skills</li> <li>Excellent communication and presentation skills</li> <li>Experience with data visualization tools like Tableau or Power BI</li> </ul> PREFERRED QUALIFICATIONS: Education: Masters degree in statistics, mathematics, computer science, or economics. Experience: 5+ years experience in a similar role. Knowledge, Skills, and Abilities: <ul> <li>Proficiency in data querying.</li> <li>Strong critical thinking and problem-solving skills.</li> <li>Experience with data visualization tools (e.g., Tableau, Power BI).</li> <li>Ability to clearly present technical information to non-technical audiences.</li> <li>Proven record in previous position.</li> <li>Knowledge of Environmental Health and Safety data</li> </ul> WORKING CONDITIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the role. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. <ul> <li>Office deskwork, sitting, walking, using phone & computer</li> <li>May lift up to pounds occasionally</li> </ul> Benefits for this role include a comprehensive package with company-sponsored medical, dental, and vision insurance; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; wellness programs; basic life and AD&D insurance; voluntary life insurance; company paid short-term and long-term disability coverage; 401(k) retirement plan including an employer match of 150% up to the first 6% you contribute to the Plan; Employee Assistance Program (EAP); behavioral health support; and leaves of absence. Additional benefits include tuition reimbursement, payroll charity contributions, adoption assistance and optional plans such as legal, critical illness, and hospitalization. Loram determines compensation based on factors such as skills, competencies, education, and/or experience. Certain positions may be eligible for an annual bonus and paid time off in addition to base compensation. Starting pay for the position is between $75,450 - $113,250. Loram is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Revised April 2025#LI-HYBRID #LI-KK1 </div>

<h3>Job Description</h3><div>Job Description<div>SUMMARYThe Data Analyst will play a key role within the Finance Department by transforming large data sets into meaningful insights that drive financial modeling, forecasting, scenario analysis and financial reporting to contribute to operational efficiencies and financial improvements. The ideal candidate has strong analytical skills, technical expertise, and a basic understanding of financial principles. DUTIES & RESPONSIBILITIES<ul><li>Extract, clean, and analyze large volumes of operational data from multiple internal and external sources.</li><li>Design, build, and maintain dashboards and reports to track key metrics and performance indicators.</li><li>Assist in forecasting, budgeting, and long-range financial planning using data-driven models.</li><li>Identify trends, anomalies, and opportunities derived from data analytics to support risk mitigation and strategic decisions.</li><li>Automate manual data processes and reporting functions to improve efficiency and accuracy.</li><li>Collaborate with finance leadership and cross-functional teams to support business objectives with actionable data insights.</li><li>Ensure data quality, accuracy, and compliance with internal controls</li><li>Prepare clear and concise reports and presentations for Executive leadership.</li></ul>REQUIREMENTS & QUALIFICATIONS<ul><li>Education: Bachelor’s degree in Data Analytics, Data Science, Business Analytics, Statistics, Applied Mathematics, Computer Science, Actuarial Science, Economics, Industrial or Systems Engineering or related field.</li><li>2+ years of experience as a Data Analyst, preferably within a Finance or Operating environment.</li><li>Strong proficiency in Excel and data analysis tools such as SQL, Power BI, Tableau, or equivalent platforms.</li><li>Business Optimization initiatives management, process modeling and simulation scenarios.</li><li>Basic understanding of financial principles, reporting, and data governance. Data cleaning, trend analysis, KPIs, dashboards, storytelling with data.</li><li>Ability to manage multiple priorities and meet deadlines in a fast-paced environment.</li><li>Strong attention to detail with commitment to data accuracy and integrity.</li><li>Excellent verbal and written communication skills with the ability to translate data into actionable insights to achieve for non-technical stakeholders engagement.</li></ul>Powered by JazzHRGR9s2FOXid</div></div>

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