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Brooksource Interview Questions

Brooksource Interview Guides

Machine Learning

Encoding Categorical Features

Say you are given a dataset of perfectly linearly separable data. What would happen when you run logistic regression?

Perfectly Separable

Missing Housing Data

Bank Fraud Model

One Million Rides

Data Structures & Algorithms

Given two sorted lists, write a function to merge them into one sorted list.

Merge Sorted Lists

Find the missing integer from a array of consequtive integers

Find the Missing Number

Get Top N Frequent Words

Given an integer N, write a function that returns all of the prime numbers up to N

Prime to N

Move Zeros Back

Write a query to select the top 3 departments with at least ten employees and rank them according to the percentage of their employees making over 100K in salary.

Employee Salaries

Select the 2nd highest salary in the engineering department

2nd Highest Salary

Calculate the first touch attribution for each `user_id` that converted.

First Touch Attribution

Closest SAT Scores

Get the top 3 highest employee salaries by department

Top Three Salaries

Probability

First to Six

500 Cards

Raining in Seattle

Found Item

Given three uniform(0,4) random variables, what is the probability that the median of them is greater than 3?

Median Probability

Statistics

P-value to a Layman

What are the assumptions of linear regression?

Assumptions of Linear Regression

Using R Squared

What statistical test could you use to determine which of two parcel types is better to use, given how often they are damaged?

Different Parcel Effectiveness

Unbiased Estimator

When an interviewer asks a question along the lines of:

<ul>
<li>What would your current manager say about you? What constructive criticisms might he give?</li>
<li>What are your three biggest strengths and weaknesses you have identified in yourself?</li>
</ul>

How would you respond?

When asked about your strengths in an interview, what is an effective way to respond?

When asked about your strengths in an interview, what is an effective way to respond?

Your Strengths and Weaknesses I

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Your Strengths and Weaknesses II

What do you tell an interviewer when they ask you what your strengths and weaknesses are?

Your Strengths and Weaknesses

Brainteasers

When an interviewer asks you a question along the lines of:

<ul>
<li>Why did you apply to our company?</li>
<li>What are you looking for in your next job?</li>
<li>What makes you a good fit for our company?</li>
</ul>

How should you respond?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

Why Do You Want to Work With Us I

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

Why Do You Want to Work With Us II

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

Why Do You Want to Work With Us III

How would you answer when an Interviewer asks why you applied to their company?

Why Do You Want to Work With Us

Let’s say that you’re training a classification model.

How would you combat overfitting when building tree-based models?

Let's say that you're training a classification model.   How would you combat overfitting when building tree-based models?

Overfit Avoidance

Describe a data project you worked on. What were some of the challenges you faced?

Describing a data project and its challenges

Hurdles In Data Projects

Analytics

Imagine you are asked to build a machine learning model to decide new loan approvals for a
financial firm. You ask the data department in the company for a subset of data to get started
working on the problem. The data includes different features about applicants such as age,
occupation, zip code, height, number of children, favorite color, etc. You decide to build
multiple machine learning models to test out different ideas before settling on the best one.

How would you explain the bias-variance tradeoff with regards to
building and choosing a model to use?

Bias vs. Variance Tradeoff

How would you explain what a p-value is to someone who is not technical?

What does a p-value in a statistical test represent?

What does a p-value in a statistical test represent?

P-value to a Layman I

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

P-value to a Layman II

What are the assumptions of linear regression?

Which assumption of the residuals of the standard linear regression model can not be overcome by increasing the sample size?

Regression assumptions

How would you handle the data preparation for building a machine learning model using imbalanced data?

Addressing imbalanced data in machine learning through carefully prepared techniques.

Data Preparation for Imbalanced Data

Let’s say we’re comparing two machine learning algorithms. In which case would you use a bagging algorithm versus a boosting algorithm? 

Give an example of the tradeoffs between the two.

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

Bagging vs. Boosting

Bagging vs Boosting

Talk about a time when you had trouble communicating with stakeholders. How were you able to overcome it?

Strategically resolving misaligned expectations with stakeholders for a successful project outcome

Stakeholder Communication

Given a string, write a function to determine if it is palindrome or not.

Note: A palindrome is a word/string that is read the same way forward as it is backward, e.g. <code>&#39;reviver&#39;</code>, <code>&#39;madam&#39;</code>, <code>&#39;deified&#39;</code> and <code>&#39;civic&#39;</code> are all palindromes, while <code>&#39;tree&#39;</code>, <code>&#39;music&#39;</code> and <code>&#39;person&#39;</code> are not palindromes.

Example:

Input:

<pre tabindex="0" class="chroma"><code>word1 = &#34;tree&#34;
word2 = &#34;radar&#34;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def is_palindrome(word1) -&gt; False
def is_palindrome(word2) -&gt; True
</code></pre>

Given a string, write a function to determine if it is palindrome or not.

String Palindromes

Write a SQL query to select the 2nd highest salary in the engineering department.

Note: If more than one person shares the highest salary, the query should select the next highest salary.

Example:

Input:

<code>employees</code> table

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

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

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

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

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

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

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

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

Explain the difference between the XGBoost and random forest algorithms and give an example where you would use one over the other.

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

XGBoost vs Random Forest: Choice

Xgboost vs Random Forest

How does random forest generate the forest? Additionally, why would we use it over other algorithms such as logistic regression?

What happens when you average the output on multiple decision trees?

What happens when you average the output on multiple decision trees?

Average Trees

Random Forest Explanation

What is the difference between Logistic and Linear Regression?

When would use one instead of the other in practice?

What is the difference between Logistic and Linear Regression?

Linear vs Logistic Regression

Let’s say that you work at a B2B SAAS company that’s interested in testing the pricing of different levels of subscriptions.

Your project manager comes to you and asks you to run a two-week-long A/B test to test an increase in pricing.

How would you approach designing this test? How would you determine whether the increase in pricing is a good business decision?

Testing Price Increase

A/B Testing

Tell me about a project in which you had to clean and organize a large dataset.

Describing a real-world data cleaning and organization project

Data Cleaning Experiences

Data Pipelines

What are the key differences between classification models and regression models?

What is the MOST important difference between regression and classification models?

What is the MOST important difference between regression and classification models?

Classification vs Regression

Classification and Regression

Given an array and a target integer, write a function <code>sum_pair_indices</code> that returns the indices of two integers in the array that add up to the target integer. If not found, just return an empty list.

Note: Can you do it on $O(n)$ time?

Note: Even though there could be many solutions, only one needs to be returned.

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>array = [1 2 3 4] 
target = 5 
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def sum_pair_indices(array, target) -&gt; [0 3] or [1 2]
</code></pre>

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>array = [3]
target = 6 
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>Do NOT return [0 0] as you can&#39;t use an index twice.
</code></pre>

Given an array and a target integer, write a function that returns the indices of two integers in the array that add up to the target integer.

Target Indices

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service in addition that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

How would we build this model?

Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

Let's say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

Let’s say you work at Allstate. Allstate is running <code>N</code> online ads right now. The table <code>ads</code> contains all those ads, ranked by popularity via the <code>id</code> column (e.g., the entry with <code>id = 1</code> is the most popular, etc.).

Create a subquery or common table expression named <code>top_ads</code> containing the top 3 ads (by popularity) and return the number of rows that would result from the following operations

<ol>
<li><code>ads INNER JOIN top_ads</code></li>
<li><code>ads LEFT JOIN top_ads</code></li>
<li><code>ads RIGHT JOIN top_ads</code></li>
<li><code>ads CROSS JOIN top_ads</code></li>
</ol>

Note: Please make the <code>join_type</code> column in your output have the values <code>inner_join</code>, <code>left_join</code>, etc. for each of their respective join types

Note: Please return only one query with each number in a different row

Example:

Input:

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

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

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

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

<tbody>
<tr>
<td><code>join_type</code></td>
<td>VARCHAR</td>
</tr>

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

Size of Joins

Given an integer <code>N</code>, write a function that returns a list of all of the prime numbers up to <code>N</code>.

Note: Return an empty list there are no prime numbers less than or equal to <code>N</code>.

Example:

Input:

<pre tabindex="0" class="chroma"><code>N = 3
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def prime_numbers(N) -&gt; [2,3]
</code></pre>

How would you convey insights and the methods you use to a non-technical audience?

Making data-driven insights actionable for those without technical expertise

Simple Explanations

Let’s say you are working on Google Docs. A product manager comes to you and asks how the product is doing. 

What are the top five metrics that you would start tracking to understand the health of Google Docs?

Docs Metrics

Product Sense & Metrics

What’s the relationship between PCA and K-means clustering?

What does the variable “k” in k-means clustering refer to?

What does the variable "k" in k-means clustering refer to?

Input of K-means

PCA and K-Means

The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding ones, usually starting with 0 and 1. It is often used in algorithm examples, and is defined by the following formula: F(n) = F(n-1) + F(n-2), with F(0) = 0 and F(1) = 1.

Your task is to implement the Fibonacci algorithm in three different methods:
1. Recursively
2. Iteratively
3. Using Memoization

Example 1:

Input:

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

Output:

<pre tabindex="0" class="chroma"><code>fibonacci(n) -&gt; 5
</code></pre>

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>n = 10
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>fibonacci(n) -&gt; 55
</code></pre>

The Fibonacci sequence starts as follows: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55…

This question requires the implementation of the Fibonacci sequence using three different methods: recursively, iteratively, and using memoization.

Implementing the Fibonacci Sequence in Three Different Methods

Let’s say you’re a data engineer at Fidelity Investments, and you’re running a SQL query on a cloud-based data warehouse. All cluster resources and network health metrics look normal, but the query is still taking over 10 minutes to complete.

How would you go about diagnosing and improving the performance of this query?

How would you diagnose and speed up a slow SQL query when system metrics look healthy?

Slow SQL Query

Query Optimization

Given the <code>employees</code> and <code>departments</code> table, write a query to get the top 3 highest employee salaries by department. If the department contains less that 3 employees, the top 2 or the top 1 highest salaries should be listed (assume that each department has at least 1 employee). 

Note: The output should include the full name of the employee in one column, the department name, and the salary. The output should be sorted by department name in ascending order and salary in descending order. 

Example:

Input:

<code>employees</code> table

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

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

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

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

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

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

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

<tbody>
<tr>
<td><code>employee_nam</code>e</td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>department_name</code></td>
<td>VARCHAR</td>
</tr>

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

How would you explain the bias variance tradeoff in machine learning to a high school student?

Replaced by QUESTION 791 - Should be deleted

Bias Variance Tradeoff

Challenge

Brooksource Salaries by Position

Job Summary: 
Brooksource is seeking an Entry Level AI Software Engineer to join their Technology Innovation Group. The role involves designing, developing, and implementing AI-enabled solutions, collaborating with various teams to translate business needs into AI capabilities and deliver production-quality solutions. Responsibilities: • Assist in implementing AI features and services that solve business and technology problems. • Help translate business and functional requirements into technical tasks and deliverables for AI solutions. • Contribute to building and integrating AI components into applications using production-ready coding practices (APIs, services, integrations, and automation). • Support model deployment and integration efforts by partnering with business and technical teams to move solutions from prototype to production. • Learn the process for deploying and maintaining AI models, including build/release routines and automation opportunities. • Assist with debugging, troubleshooting, and resolving issues in AI solutions to maintain performance and stability. • Participate in Agile and delivery team routines (standups, planning, demos) and provide clear status updates. • Produce and maintain documentation (implementation notes, runbooks, model/service documentation, user enablement content). • Collaborate cross-functionally with Technology partners and other stakeholders to gather inputs and support delivery. • Learn and follow established governance, risk and control expectations for AI solutions, including considerations to safe deployment practices. • Support implementation practices that align with the organization’s focus on risk mitigation when adopting AI and GenAI technologies. • Performs other duties as assigned. Qualifications: Required: • Bachelors Degree in Computer Science or Related Field. • Exhibit coursework, internship, and project related experience in AI. • A passion for learning and exploring new technologies. • Strong problem-solving skills with an openness to tackling new and unfamiliar challenges. • Working knowledge of at least one programming language such as Java, React, Python, etc. • Basic understanding of APIs, data structures, and software development fundamentals; familiarity with Git and collaborative development workflows. • Foundational understanding of data concepts (e.g, SQL, relational and nonrelational databases). • Strong business and technology aptitude with the ability to learn processes and procedures quickly. • Excellent verbal and written communications and the ability to work in a collaborative setting (in-person and virtual). • Ability to write clean, maintainable code and learn to translate AI concepts into production-level implementations. • Ability to support testing, deployment, and troubleshooting efforts in partnership with cross-functional teams. • Strong learning agility; curiosity and aptitude to learn new tools, platforms, and methodologies. • Highly motivated with strong organizational, analytical, decision making, and problem-solving skills. • Ability to build credibility and strong partnerships while working collaboratively within the team and across the organization. • Ability to effectively handle multiple tasks, determine priorities, and execute in a high-pressure environment. Company: 
Brooksource is a single source for project and supplemental support through contract employment, contract-to-hire labor employment. Founded in 2000, the company is headquartered in Indianapolis, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Analytical Product Manager User Feedback & Competitor Comparison (Advanced WiFi) Pay: $65-$70/hr Location: Greenwood Village, Co. 4 days onsite/1 day remote. Goal <ul> <li>Bolster data driven investigations to improve Advanced WiFi performance, end‑client interoperability, and overall customer satisfaction by leveraging internal and external customer/user feedback into actionable investigations. </li></ul> Program Overview <ul> <li>Review and facilitate user feedback loops for both internal employee and external customers insight </li><li>Maintain open, rapid communication channels with internal stakeholder teams to make actionable impacts from reviewed customer/user feedback </li><li>Inform Spectrum’s roadmap by tracking device ecosystem trends and upcoming features </li><li>Lead competitor comparison documentation and upkeep for all ISP, FWA, and third-party WiFi Hardware and Advanced Feature offerings </li><li>Ability to make decisions and solve problems while working under pressure </li><li>Ability to develop strong working relationships with peers and project members </li><li>Demonstrated experience defining and implementing Lean frameworks within a large enterprise </li><li>Experience with Jira, Confluence, SharePoint, Tableau, and social media aggregation tools such as Talkwalker a plus </li><li>Experience in Telecommunications industry </li><li>Knowledge and experience with Agile delivery frameworks: Agile, Scrum, Kanban, SAFe, Scrum at Scale, LeSS, Lean, Six Sigma </li></ul> Key Responsibilities <ul> <li>Synthesize insights from dual feedback streams </li><li>Combine qualitative (sentiment, themes, verbatim comments) and quantitative data (trends, volume, NPS/CSAT scores, engagement metrics) from internal employee programs and external WiFi 7 social/user feedback into clear, prioritized insight reports, executive summaries, and interactive dashboards. </li><li>Translate user and employee voice into actionable product improvements by identifying high-impact pain points, feature requests, and opportunities; create data-backed prioritization frameworks to influence the product roadmap for both WiFi 7 router hardware/firmware and internal employee-facing programs/tools. </li></ul> <ul> <li>Define and track success metrics tied to feedback </li><li>Establish and monitor KPIs such as sentiment trends, issue resolution velocity, feedback loop closure rate, NPS/CSAT uplift, adoption of addressed features, and reduction in recurring complaints for both internal programs and WiFi 7 router user experience. </li><li>Manage proactive social media engagement and reputation by working with social/media/customer success teams to respond to public feedback, escalate critical issues, convert detractors into advocates, highlight product wins based on positive mentions, and mitigate potential reputational risks emerging from WiFi 7 discussions. </li></ul> <ul> <li>Roadmap and strategy </li><li>Partner closely with engineering, firmware, UX, and hardware teams to define requirements, write user stories/epics, and ensure that validated feedback directly shapes iterations, bug fixes, new capabilities (e.g., enhanced mesh, AI-driven optimization), and release planning for WiFi 7 products and internal solutions. </li><li>Facilitate cross-functional alignment and feedback review cadences Lead regular insight-sharing sessions, roadmap alignment meetings, and working groups with stakeholders (engineering, support, marketing, customer success, leadership) to present findings, gain buy-in, and track progress on feedback-driven initiatives. </li></ul> <ul> <li>Governance and compliance </li><li>Ensure data privacy, regulatory compliance, and responsible use of device intelligence. </li><li>Maintain partner scorecards and periodic business reviews. </li></ul> Core Processes (owned by this role) <ul> <li>Feedback Collection and Analysis: </li><li>Design and implement systems for gathering feedback from internal employees on company programs, tools, and services, including surveys, focus groups, and usage analytics. </li><li>Monitor and analyze social media channels (e.g., Twitter/X, Reddit, Facebook, LinkedIn) for user feedback on WiFi 7 routers, identifying trends, pain points, and opportunities related to performance, usability, security, and features like multi-gigabit speeds, low latency, and enhanced spectrum efficiency. </li><li>Synthesize qualitative and quantitative data from both internal and external sources to create actionable insights reports, dashboards, and recommendations. </li></ul> <ul> <li>Product Strategy and Integration: </li><li>Collaborate with engineering teams to prioritize feedback-driven features and bug fixes for WiFi 7 routers, ensuring alignment with technical standards (e.g., 802.11be) and market demands. </li><li>Influence the roadmap for internal employee programs by translating feedback into iterative improvements, such as enhancing user interfaces, integration with existing systems, or adding new functionalities. </li><li>Work with marketing and customer success teams to respond to social media feedback, turning negative experiences into product wins and amplifying positive user stories. </li></ul> <ul> <li>Cross-Functional Leadership: </li><li>Lead feedback review meetings with stakeholders, presenting data-backed proposals to senior leadership. </li><li>Develop metrics for success, such as Net Promoter Score (NPS), sentiment analysis scores, and resolution rates for identified issues. </li><li>Stay abreast of industry trends in WiFi technology, user experience design, and feedback management tools to innovate collection methods. </li></ul> Qualifications <ul> <li>7+ years in Product Management, Partner/Program Management, or Technical Account Management; telecom/broadband/Wi‑Fi domain experience strongly preferred. </li><li>Hands‑on experience designing and running customer feedback loops and opening investigations based on trending data. </li><li>Strong understanding of Wi‑Fi technologies (802.11ac/ax/be), DFS behavior, mesh systems, client steering/roaming, and device interoperability. </li><li>Proven experience driving cross‑functional programs with Engineering, QA, Operations, Legal, and Marketing. </li><li>Data‑driven: able to define KPIs, interpret telemetry, and build actionable insights (e.g., Tableau/Looker). </li><li>Tools: Jira/Confluence, release management systems, device telemetry platforms; familiarity with Plume/OpenSync, CUJO DI, and prior experience working with vendors a plus. </li></ul> Success Metrics (KPIs) <ul> <li>Reduction in RC/TC rates tied to partner/interoperability issues. </li><li>Experience Feedback SLA adherence: # of Tier‑1 partners onboarded and active </li><li>NPS/CX improvements for cohorts impacted by interop fixes </li><li>Decrease in repeat trouble calls for identified device categories or </li></ul> RELATED WORK EXPERIENCE Number of Years: Project Management experience 7+ Lean/Agile process experience 3+ EDUCATION, CERTIFICATION & LICENSES: Bachelor’s degree in computer science, business, marketing, information systems, business administration or related field, or equivalent experience Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment. EEO: We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws. Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employees needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc. Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Job Summary: 
Brooksource is seeking an Entry Level AI Software Engineer to join their Technology Innovation Group. The role involves designing, developing, and implementing AI-enabled solutions, collaborating with various teams to translate business needs into AI capabilities and deliver production-quality solutions. 
Responsibilities: 
• Assist in implementing AI features and services that solve business and technology problems. • Help translate business and functional requirements into technical tasks and deliverables for AI solutions. • Contribute to building and integrating AI components into applications using production-ready coding practices (APIs, services, integrations, and automation). • Support model deployment and integration efforts by partnering with business and technical teams to move solutions from prototype to production. • Learn the process for deploying and maintaining AI models, including build/release routines and automation opportunities. • Assist with debugging, troubleshooting, and resolving issues in AI solutions to maintain performance and stability. • Participate in Agile and delivery team routines (standups, planning, demos) and provide clear status updates. • Produce and maintain documentation (implementation notes, runbooks, model/service documentation, user enablement content). • Collaborate cross-functionally with Technology partners and other stakeholders to gather inputs and support delivery. • Learn and follow established governance, risk and control expectations for AI solutions, including considerations to safe deployment practices. • Support implementation practices that align with the organization’s focus on risk mitigation when adopting AI and GenAI technologies. • Performs other duties as assigned. 
Qualifications: 
Required: 
• Bachelor's Degree in Computer Science or Related Field. • Exhibit coursework, internship, and project related experience in AI. • A passion for learning and exploring new technologies. • Strong problem-solving skills with an openness to tackling new and unfamiliar challenges. • Working knowledge of at least one programming language such as Java, React, Python, etc. • Basic understanding of APIs, data structures, and software development fundamentals; familiarity with Git and collaborative development workflows. • Foundational understanding of data concepts (e.g, SQL, relational and nonrelational databases). • Strong business and technology aptitude with the ability to learn processes and procedures quickly. • Excellent verbal and written communications and the ability to work in a collaborative setting (in-person and virtual). • Ability to write clean, maintainable code and learn to translate AI concepts into production-level implementations. • Ability to support testing, deployment, and troubleshooting efforts in partnership with cross-functional teams. • Strong learning agility; curiosity and aptitude to learn new tools, platforms, and methodologies. • Highly motivated with strong organizational, analytical, decision making, and problem-solving skills. • Ability to build credibility and strong partnerships while working collaboratively within the team and across the organization. • Ability to effectively handle multiple tasks, determine priorities, and execute in a high-pressure environment. 
Company: 
Brooksource is a single source for project and supplemental support through contract employment, contract-to-hire labor employment. Founded in 2000, the company is headquartered in Indianapolis, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Analytical Product Manager User Feedback & Competitor Comparison (Advanced WiFi)Pay: $65-$70/hrLocation: Greenwood Village, Co. 4 days onsite/1 day remote. Goal<ul><li>Bolster data driven investigations to improve Advanced WiFi performance, end‑client interoperability, and overall customer satisfaction by leveraging internal and external customer/user feedback into actionable investigations.</li></ul> Program Overview<ul><li>Review and facilitate user feedback loops for both internal employee and external customers insight</li><li>Maintain open, rapid communication channels with internal stakeholder teams to make actionable impacts from reviewed customer/user feedback</li><li>Inform Spectrum’s roadmap by tracking device ecosystem trends and upcoming features</li><li>Lead competitor comparison documentation and upkeep for all ISP, FWA, and third-party WiFi Hardware and Advanced Feature offerings</li><li>Ability to make decisions and solve problems while working under pressure</li><li>Ability to develop strong working relationships with peers and project members</li><li>Demonstrated experience defining and implementing Lean frameworks within a large enterprise</li><li>Experience with Jira, Confluence, SharePoint, Tableau, and social media aggregation tools such as Talkwalker a plus</li><li>Experience in Telecommunications industry</li><li>Knowledge and experience with Agile delivery frameworks: Agile, Scrum, Kanban, SAFe, Scrum at Scale, LeSS, Lean, Six Sigma</li></ul> Key Responsibilities<ul><li>Synthesize insights from dual feedback streams </li><li>Combine qualitative (sentiment, themes, verbatim comments) and quantitative data (trends, volume, NPS/CSAT scores, engagement metrics) from internal employee programs and external WiFi 7 social/user feedback into clear, prioritized insight reports, executive summaries, and interactive dashboards.</li><li>Translate user and employee voice into actionable product improvements by identifying high-impact pain points, feature requests, and opportunities; create data-backed prioritization frameworks to influence the product roadmap for both WiFi 7 router hardware/firmware and internal employee-facing programs/tools.</li></ul> <ul><li>Define and track success metrics tied to feedback </li><li>Establish and monitor KPIs such as sentiment trends, issue resolution velocity, feedback loop closure rate, NPS/CSAT uplift, adoption of addressed features, and reduction in recurring complaints for both internal programs and WiFi 7 router user experience.</li><li>Manage proactive social media engagement and reputation by working with social/media/customer success teams to respond to public feedback, escalate critical issues, convert detractors into advocates, highlight product wins based on positive mentions, and mitigate potential reputational risks emerging from WiFi 7 discussions.</li></ul> <ul><li>Roadmap and strategy</li><li>Partner closely with engineering, firmware, UX, and hardware teams to define requirements, write user stories/epics, and ensure that validated feedback directly shapes iterations, bug fixes, new capabilities (e.g., enhanced mesh, AI-driven optimization), and release planning for WiFi 7 products and internal solutions.</li><li>Facilitate cross-functional alignment and feedback review cadences Lead regular insight-sharing sessions, roadmap alignment meetings, and working groups with stakeholders (engineering, support, marketing, customer success, leadership) to present findings, gain buy-in, and track progress on feedback-driven initiatives.</li></ul> <ul><li>Governance and compliance</li><li>Ensure data privacy, regulatory compliance, and responsible use of device intelligence.</li><li>Maintain partner scorecards and periodic business reviews.</li></ul> Core Processes (owned by this role)<ul><li>Feedback Collection and Analysis:</li><li>Design and implement systems for gathering feedback from internal employees on company programs, tools, and services, including surveys, focus groups, and usage analytics.</li><li>Monitor and analyze social media channels (e.g., Twitter/X, Reddit, Facebook, LinkedIn) for user feedback on WiFi 7 routers, identifying trends, pain points, and opportunities related to performance, usability, security, and features like multi-gigabit speeds, low latency, and enhanced spectrum efficiency.</li><li>Synthesize qualitative and quantitative data from both internal and external sources to create actionable insights reports, dashboards, and recommendations.</li></ul> <ul><li>Product Strategy and Integration:</li><li>Collaborate with engineering teams to prioritize feedback-driven features and bug fixes for WiFi 7 routers, ensuring alignment with technical standards (e.g., 802.11be) and market demands.</li><li>Influence the roadmap for internal employee programs by translating feedback into iterative improvements, such as enhancing user interfaces, integration with existing systems, or adding new functionalities.</li><li>Work with marketing and customer success teams to respond to social media feedback, turning negative experiences into product wins and amplifying positive user stories.</li></ul> <ul><li>Cross-Functional Leadership:</li><li>Lead feedback review meetings with stakeholders, presenting data-backed proposals to senior leadership.</li><li>Develop metrics for success, such as Net Promoter Score (NPS), sentiment analysis scores, and resolution rates for identified issues.</li><li>Stay abreast of industry trends in WiFi technology, user experience design, and feedback management tools to innovate collection methods.</li></ul> Qualifications<ul><li>7+ years in Product Management, Partner/Program Management, or Technical Account Management; telecom/broadband/Wi‑Fi domain experience strongly preferred.</li><li>Hands‑on experience designing and running customer feedback loops and opening investigations based on trending data.</li><li>Strong understanding of Wi‑Fi technologies (802.11ac/ax/be), DFS behavior, mesh systems, client steering/roaming, and device interoperability.</li><li>Proven experience driving cross‑functional programs with Engineering, QA, Operations, Legal, and Marketing.</li><li>Data‑driven: able to define KPIs, interpret telemetry, and build actionable insights (e.g., Tableau/Looker).</li><li>Tools: Jira/Confluence, release management systems, device telemetry platforms; familiarity with Plume/OpenSync, CUJO DI, and prior experience working with vendors a plus.</li></ul>Success Metrics (KPIs)<ul><li>Reduction in RC/TC rates tied to partner/interoperability issues.</li><li>Experience Feedback SLA adherence: # of Tier‑1 partners onboarded and active</li><li>NPS/CX improvements for cohorts impacted by interop fixes</li><li>Decrease in repeat trouble calls for identified device categories or</li></ul> RELATED WORK EXPERIENCE Number of Years:Project Management experience 7+Lean/Agile process experience 3+ EDUCATION, CERTIFICATION & LICENSES:Bachelor’s degree in computer science, business, marketing, information systems, business administration or related field, or equivalent experience Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.EEO:We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.Benefits & Perks:Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.Pay Disclaimer:The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Software Engineer (Backend with DevOps Exposure)Hybrid | Tampa, FL (Onsite Monday–Thursday) Zip Code: 33605 Long-Term Contract Mid-Level (2–3 Years Experience) Our global manufacturing client is seeking a Software Engineer to join a high-performing development team building and supporting enterprise backend systems. This role is ideal for a backend-focused engineer who enjoys owning services end-to-end and collaborating closely with DevOps and infrastructure teams to deliver reliable, production-ready solutions. You’ll contribute to modernizing backend services, enhancing CI/CD processes, and supporting scalable cloud-based applications that power critical business operations. This is not a pure DevOps role — but strong familiarity with modern deployment pipelines and infrastructure tooling is essential. Responsibilities <ul><li>Design, develop, and enhance backend services using Java and/or Kotlin</li><li>Build scalable, maintainable APIs and service integrations</li><li>Write and optimize SQL queries and data integrations (PostgreSQL)</li><li>Collaborate with DevOps teams to improve CI/CD pipelines and release automation</li><li>Contribute to infrastructure-as-code initiatives using Terraform (or similar tools)</li><li>Support build automation and deployment workflows</li><li>Write and maintain shell scripts to streamline engineering processes</li><li>Participate in code reviews and uphold engineering best practices</li><li>Help support and troubleshoot production systems as needed</li></ul> Qualifications <ul><li>Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent practical experience)</li><li>2–3 years of professional software engineering experience</li><li>Strong backend development experience in Java and/or Kotlin (experience in both is highly preferred)</li><li>Experience working with relational databases (PostgreSQL preferred)</li><li>Exposure to CI/CD pipelines and build processes</li><li>Working knowledge of Terraform or similar infrastructure-as-code tools</li><li>Basic shell scripting experience</li></ul> Nice to Have<ul><li>Experience working in cloud environments (AWS, Azure, or GCP)</li><li>Familiarity with containerization (Docker, Kubernetes)</li><li>Experience supporting production applications in enterprise environments</li><li>Understanding of DevOps best practices and modern engineering tooling</li><li>Exposure to frontend technologies such as React</li><li>Experience with TypeScript</li><li>Familiarity with Material UI</li></ul> Work Environment<ul><li>Collaborative, team-oriented engineering culture</li><li>Opportunity to work on enterprise-scale systems within a global organization</li></ul>

Data Analyst Location: Atlanta, GA, Onsite 5 days a weekContract Duration: March 4, 2026 – January 31, 2027Type: ContractPay range: $35-42hr We are seeking a highly skilled Data Analyst to help our client accelerate the development, optimization, and operationalization of analytics solutions that support strategic leaders across their Agile delivery ecosystem. The ideal contractor will bring strong technical expertise in SQL, dashboarding, Agile methodologies, and a strong preference for experience with Atlassian Analytics.This role is critical in shaping and advancing agile methodologies, improving data quality, and enabling high impact reporting and decision-making. The contractor will deliver hands-on guidance, strategic insights, and structured processes to ensure timely and accurate analytics outputs. Key ResponsibilitiesProject Intake & Process Optimization<ul><li>Design and implement a formal intake form and intake process for data hardening, outlier reporting, and AI-related projects.</li><li>Develop streamlined processes for data validation, reporting, and project intake to ensure accuracy and consistency.</li></ul> Stakeholder & Vendor Management<ul><li>Coordinate alignment and communication between vendor partners and internal business teams to advance data hardening initiatives.</li><li>Support enterprise-wide collaboration between Agile teams, Strategic Leadership, and Analytics stakeholders.</li></ul> Platform & Tooling Enablement<ul><li>Contribute to the evaluation and selection of a centralized project management platform to support a unified, single-entry intake system.</li><li>Utilize Agile tools (Atlassian suite, Microsoft apps) and apply Lean/Scrum methodologies to optimize workflows.</li></ul> Project Execution<ul><li>Lead key initiatives, including the Data Hardening Strategy and transition to a unified project management ecosystem.</li><li>Provide ongoing reporting, insights, and analytics support to cross-functional teams.</li></ul> Required Skills & ExperienceProject & Methodology Expertise<ul><li>Proven experience in Project Planning, Scheduling, and Project Methodologies (Agile, Waterfall, Lean, Scrum).</li></ul> Technical Data Skills<ul><li>Strong proficiency in SQL and Google BigQuery (GBQ) for data validation and accuracy checks.</li><li>Experience with Python for data processing and automation tasks.</li></ul> Data Governance & Quality<ul><li>Deep understanding of Data Governance principles and frameworks.</li><li>Demonstrated ability to ensure accuracy and integrity of data across complex projects.</li></ul> Collaboration & Tooling<ul><li>Expertise in project management tools such as Smartsheet, Jira, or Asana.</li><li>Experience using GitHub for version control and collaborative development.</li><li>Dashboarding experience; Atlassian Analytics strongly preferred.</li></ul> Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

A leading consulting firm is seeking a qualified Business Analyst to support a significant ePermitting Discovery Project in Wisconsin. The role requires extensive experience in business analysis, strong communication skills, and the ability to work with diverse stakeholders. The ideal candidate will document current processes, facilitate requirement elicitation, and develop useable models. This position offers an opportunity to work on a critical agency-wide initiative with a focus on improving the permitting environment. #J-18808-Ljbffr

Experience: 58 years (ideal range 46+ years) Methodology: Agile <h5>About the Role </h5>Our retail client is seeking an experienced Business Analyst to join a highly collaborative, local team supporting both business and technical initiatives. This role is hands?on and heavily stakeholder?facing, ideal for someone who enjoys translating business needs into clear technical requirements while actively participating in Agile delivery. Youll work closely with product owners, developers, and project leadership to support data?driven initiatives and operational improvements across the organization. <h5>Key Responsibilities </h5> <ul><li>Partner with business and technical stakeholders to gather, document, and refine requirements, including user stories and acceptance criteria </li><li>Lead and facilitate meetings, workshops, and working sessions with cross?functional teams </li><li>Support Agile ceremonies including standups, sprint planning, and backlog grooming </li><li>Translate business and operational needs into clear technical documentation </li><li>Collaborate with data and reporting teams to support initiatives leveraging enterprise databases and BI tools </li><li>Assist with business and technical operations and procedures, ensuring alignment across teams </li><li>Provide light project coordination support, including status updates and risk/issue tracking </li><li>Serve as a trusted, people?focused teammate who helps drive alignment and momentum </li> </ul><h5>Required Skills & Experience </h5><ul><li>58 years of experience as a Business Analyst (46+ years strongly considered) </li><li>Strong experience writing requirements, user stories, and functional documentation </li><li>Hands?on experience working in Agile environments (Jira, sprint ceremonies, backlog management) </li><li>SQL experience for data analysis and validation </li><li>Experience working with enterprise data platforms such as Snowflake </li><li>Exposure to BI and reporting tools (Power BI, MicroStrategy) </li><li>Proven ability to lead meetings and communicate effectively with both technical and non?technical stakeholders </li><li>Strong interpersonal skillscollaborative, team?oriented, and comfortable working with diverse groups </li><li>Some exposure to project management concepts and delivery workflows </li> </ul><h5>Nice to Have </h5><ul><li>Retail industry experience </li><li>Experience supporting data?heavy or analytics?driven initiatives </li><li>Comfort bridging gaps between business operations and technical teams </li> </ul><h5>What Makes This Role Stand Out </h5><ul><li>Fully local, collaborative team environment </li><li>Opportunity to support meaningful retail initiatives with real operational impact </li><li>Strong mix of business, data, and Agile delivery exposure </li> </ul> #J-18808-Ljbffr

<ul><li>We are seeking a Data Science Contractor to support our centralized Data Analytics & AI team. This role focuses on designing, building, and validating datasets that power analytics, reporting, and machine learning solutions across the company. </li><li>You will work closely with Data Scientists, Analysts, and technical partners to: </li><li>Bring together data from multiple systems </li><li>Build reliable, analytics-ready datasets and tables </li><li>Improve data quality, consistency, and documentation </li><li>Success in this role will be measured by the quality, usability, and business impact of the datasets and data assets you help deliver. </li></ul><h5>ABOUT THE TEAM </h5><ul><li>The Data Analytics & AI (Data Science & Analytics) team drives innovation through advanced analytics, AI, and data-informed decision-making. We: </li><li>Build and maintain the data foundations that power analytics and AI solutions </li><li>Deliver data-driven insights for key strategic and operational initiatives </li><li>Design reusable data models, standardized metrics, and scalable analytics assets </li><li>Partner with teams across the organization to make data easier to access, understand, and use </li><li>As a Data Science Contractor focused on analytics and data foundations, you will help create high-quality datasets that support real-world business problems impacting millions of vacationers worldwide. </li></ul><h5>KEY RESPONSIBILITIES </h5>1. Data Foundations & Dataset Design Partner with Data Scientists, Analysts, and business stakeholders to understand requirements and translate them into well-structured, analytics-ready datasets. Use SQL and Python (or similar languages) to extract, transform, and load data from multiple sources (databases, APIs, files, third-party systems). Design and implement data transformations (joins, aggregations, feature creation, reshaping) to support reporting, analytics, experimentation, and modeling. Help standardize business definitions, metrics, and dimensions across datasets to ensure consistency and reusability. 2. Pipelines, Data Quality, and Governance Build and maintain repeatable data preparation workflows to feed curated tables, views, and data marts. Implement data quality checks and validation rules to ensure completeness, accuracy, and timeliness. Investigate and resolve data issues, discrepancies, and anomalies in partnership with source system owners and downstream users. Document lineage, schemas, and transformation logic, aligning with internal governance standards. 3. Analytics & Data Enablement Ensure datasets are designed to support key business KPIs, dashboards, and analytic use cases. Provide Data Scientists with clean, structured input datasets for modeling and experimentation. Support Analysts and business users in understanding table structures, field definitions, and best practices for querying data. Assist in developing or refining semantic layers and reusable queries that simplify access to complex data. 4. Documentation & Knowledge Sharing Create and maintain data dictionaries, schema documentation, and transformation specifications. Clearly document assumptions, business rules, and known data limitations. Contribute to internal best practices for dataset design, reproducibility, and code organization. Participate in team meetings, code reviews, and technical discussions with Data Scientists, Engineers, and business partners. <h5>REQUIRED QUALIFICATIONS </h5><ul><li>Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, Engineering, or a related quantitative field; or equivalent practical experience. </li><li>2+ years of hands-on experience in data-focused roles (e.g., data science, analytics, BI, or similar), with significant work building and transforming datasets. </li><li>Technical skills: </li><li>Strong proficiency in SQL, including complex joins, aggregations, window functions, and performance-aware query design. </li><li>Proficiency in Python (or R) for data wrangling, scripting, and automation; experience with libraries such as pandas, NumPy or equivalent. </li><li>Experience creating repeatable ETL/ELT-style workflows or scripted data preparation processes. </li><li>Experience working with relational databases and/or modern cloud data warehouses. </li><li>Ability to work with large, messy, real-world datasets, including cleaning, reshaping, and validating data. </li><li>Strong analytical and quantitative problem-solving skills. </li><li>Ability to clearly explain data structures, assumptions, and trade-offs to both technical and non-technical stakeholders. </li><li>Proven ability to manage multiple tasks and priorities in a fast-paced environment. </li></ul><h5>PREFERRED QUALIFICATIONS </h5><ul><li>Experience with dimensional data modeling (e.g., star/snowflake schemas) and designing analytics data marts. </li><li>Hands-on experience with cloud platforms (Azure, AWS, or GCP) and cloud data warehouses (e.g., Snowflake, Redshift, BigQuery, Azure Synapse). </li><li>Familiarity with big data or distributed processing frameworks (e.g., Spark, Databricks). </li><li>Exposure to workflow orchestration and transformation tools (e.g., Airflow, dbt, Azure Data Factory, AWS Glue). </li><li>Experience with version control (Git, GitHub/GitLab/Bitbucket) and collaborative development workflows. </li><li>Experience supporting data science or machine learning teams, including building feature-ready datasets. </li><li>Experience developing dashboards or reports with tools such as Tableau, Power BI, or similar. </li><li>Background working in Agile or iterative development environments. </li></ul><h5>KNOWLEDGE, SKILLS, AND ATTRIBUTES </h5><ul><li>Demonstrates a strong capacity for learning new tools, methods, and technologies in data and analytics. </li><li>Curious, detail-oriented, and passionate about improving data quality and usability. </li><li>Comfortable working independently while collaborating closely with cross-functional teams. </li><li>Strong communication skills, both written and verbal. </li><li>Passionate about using data to improve customer experiences, drive innovation, and create business value. </li><li>Interest in travel, hospitality, and/or the cruise industry is a plus. </li></ul><h5>EQUAL OPPORTUNITY STATEMENT </h5><ul><li>Eight Eleven Group, LLC ensures equal employment and promotion opportunities without discrimination or harassment based on any protected characteristic under law. </li></ul> #J-18808-Ljbffr

Get AI-powered advice on this job and more exclusive features. Maple Grove, MN - Hybrid (3 days/week onsite) Our client is seeking a data engineering contractor to join our team and help build and maintain the existing marketing data warehouse. This role will build DBT models in a medallion style data mart that combines 10+ data sources and transform them into a holistic model to allow marketing teams to derive actionable insights. <h5>Responsibilities </h5> <ul><li>Collaborate with cross-functional teams to ingest, maintain, and deliver analytics data. </li><li>Develop and maintain data ingestion and transformation processes within Snowflake using SQL and DBT. </li><li>Develop datasets to support ad-hoc analytical needs and reporting. </li><li>Monitor data pipelines to ensure data is captured and processed accurately and on time. </li><li>Ensure that all processes for receiving, processing, and evaluating data are efficient, replicable and documented. </li><li>Perform validation and testing of data transformations and automated jobs to ensure quality data. </li><li>Fulfill ad-hoc requests and data processing needs. </li><li>Comply with all required internal governance and data privacy requirements. </li> </ul><h5>Required Qualifications </h5><ul><li>5+ years professional work experience with relational data models and databases. </li><li>Strong Experience with Snowflake, DBT, AWS. </li><li>Strong SQL experience focused on data transformation, cleansing, and preparation. </li><li>Collaborative team?player. </li><li>Strong ability to multi?task and balance competing priorities effectively. </li><li>Experience working with highly regulated industries. </li> </ul><h5>Preferred Qualifications </h5><ul><li>Bachelors degree in IT, software engineering or related fields. </li> </ul> <h5>ABOUT EIGHT ELEVEN GROUP </h5>At Eight Eleven, our business is people. Relationships are at the center of what we do. A successful partnership is only as strong as the relationship built. Were your trusted partner for IT hiring, recruiting and staffing needs. For over 16 years, Eight Eleven has established and maintained relationships that are designed to meet your IT staffing needs. Whether its contract, contract?to?hire, or permanent placement work, we customize our search based on your company's unique initiatives, culture and technologies. With our national team of recruiters placed at 21 major hubs around the nation, Eight Eleven finds the people best?suited for your business. When you work with us, we work with you. Thats the Eight Eleven promise. Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws. #J-18808-Ljbffr

Calculate Moving Average	SQL	Easy
Predict Customer Churn	Machine Learning	Medium
A/B Test Significance	Statistics	Medium
Optimize Query Performance	SQL	Hard
Feature Importance Analysis	Machine Learning	Medium
Clean Missing Data	Python	Easy
Neural Network Architecture	Deep Learning	Hard
Calculate Cohort Retention	SQL	Medium
Bayesian Probability	Statistics	Easy
Recommend Similar Products	Machine Learning	Hard

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