product data analyst

MillerKnoll

<div><p><b>Why join us?<br>
</b></p><p><br>
Our purpose is design for the good of humankind. It&rsquo;s the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone.</p><p></p><p><b>
Product Data Analyst</b></p><h1 class="jobSectionHeader"><b>
Job Summary</b></h1><p>
The Product Data Analyst plays an important role in enabling accurate, scalable, and actionable product data that supports business growth, customer experience, and operational efficiency. This role partners closely with the product data team and cross-functional stakeholders to ensure product data is governed, high-quality, and maintained across systems and key business tools.</p><h1 class="jobSectionHeader"><b>
Key Responsibilities</b></h1><p><b>
Product Data Setup &amp; Maintenance</b></p><ul><li>Support the intake, prioritization, and execution of product data requests (new products, updates, changes) across relevant systems and tools.</li><li>Ensure accurate and timely setup and maintenance of product data to support product launches and ongoing operations.</li><li>Partner with upstream teams to validate requirements and resolve data issues impacting product launches or updates.</li><li>Manage and maintain data in key sales and marketing tools (e.g., price books/price lists) to ensure high content accuracy and consistency across multiple tools.</li></ul><p><b>
Data Governance &amp; Quality</b></p><ul><li>Apply and follow product data governance standards and definitions.</li><li>Perform routine data validation and quality checks; identify issues and support root-cause analysis with partners to drive sustainable fixes.</li><li>Help document data standards, business rules, and process steps to support consistency and clarity across teams.</li></ul><p><b>
Systems &amp; Process Support</b></p><ul><li>Support system implementations, enhancements, and process improvements related to product data management.</li><li>Identify opportunities to streamline and standardize product data setup and maintenance to improve efficiency and reduce rework.</li><li>Collaborate with technical and platform partners to support product data integration needs and operational readiness.</li></ul><p><b>
Cross-Functional Collaboration</b></p><ul><li>Serve as a liaison between product management, pricing, marketing, sales, supply chain, and distribution channels to support product and marketing needs.</li><li>Communicate information in clear and concise written and verbal formats.</li><li>Support marketing through documentation of information in image logs to ensure accurate asset documentation.</li><li>Coordinate and assist with special projects as needed to achieve business objectives.</li><li>Performs additional responsibilities as requested to achieve business objectives.</li></ul><p></p><h1 class="jobSectionHeader"><b>
Qualifications</b></h1><p><b>
Required</b></p><ul><li>Bachelor&rsquo;s degree in Business Administration or a related field, or equivalent experience.</li><li>Experience in data analysis, data management, product operations, or a related role in a cross-functional environment.</li><li>Strong analytical, problem-solving, and attention-to-detail skills; ability to ensure accuracy through thorough review and analysis.</li><li>Strong communication, interpersonal, and organizational skills with the ability to work effectively with diverse partners.</li><li>Ability to prioritize multiple tasks, manage deadlines, and adapt to changing business needs.</li><li>Proficiency with Microsoft Office tools (Excel, PowerPoint, Word); comfort learning new systems and tools.</li></ul><p><b>
Preferred</b></p><ul><li>Experience working with product data in enterprise systems (e.g., PIM, ERP, or similar).</li><li>Experience supporting pricing tools and content (e.g., catalogs/price lists/price books) and ensuring consistency across tools.</li><li>Familiarity with data governance and data quality practices (definitions, standards, validation, issue resolution workflows).</li></ul><p></p><p><b>
Who We Hire?</b></p><p><br>
Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We&rsquo;re committed to equal opportunity employment, including veterans and people with disabilities.</p><p></p>
This organization participates in E-Verify Employment Eligibility Verification. In general, MillerKnoll positions are closed within 45 days and are open for applications for a minimum of 5 days. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings.<p></p><p>
MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_help@millerknoll.com.</p></div>

Product Data Analyst

Comcast

<div>Make your mark at Comcast - a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You&rsquo;ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)<p><b><br>
Job Summary</b></p>
Comcast&rsquo;s Drexel Co-op Program offers an exciting opportunity to gain hands-on experience, build lasting connections, and grow professionally in a dynamic and inclusive environment. This paid, 6-month immersive experience places students at the heart of our business, working alongside talented professionals on meaningful projects that contribute to real outcomes. As a trusted member of the team, you&rsquo;ll gain exposure to the inner workings of a global media and technology company while developing skills that will serve you well in any career path.<p></p><p><b>
Job Description</b></p><div><div><p>
Your experience will include:</p><ul><li><b>
Hands-On Learning &amp; Impactful Work</b>: Tackle real business challenges, collaborate across teams, and contribute ideas that drive results from day one.</li><li><b>
Community, Connection &amp; Giving Back</b>: Build meaningful relationships through social events, peer engagement, and shared experiences. You&rsquo;ll also have the opportunity to give back through Team UP, Comcast&rsquo;s volunteer initiative, deepening your connection to both your community and your fellow students.</li><li><b>
Mentorship &amp; Support</b>: Receive guidance from experienced professionals through our dedicated mentorship program, helping you navigate your co-op and beyond.</li><li><b>
Professional Development: </b>Participate in a custom onboarding experience, a curated learning series, and networking events designed to help you build new skills, explore career paths, and gain insights from professionals from across the organization.</li></ul><p></p><p>
At Comcast, we&rsquo;re committed to investing in the next generation of innovators and leaders. Our Co-op Program is a transformative experience designed to help you grow, connect, and take the next step in your professional journey.</p><p></p><p><b>
Organization &amp; Team Overview</b></p><p>
We are the Network Facilities Solutions (NFS) Product Team, part of the Network Facilities &amp; Energy organization. We are a small, high‑impact product team of six, responsible for six critical products that support Comcast&rsquo;s Network Facilities operations across more than 1,700 critical infrastructure sites. Our product portfolio includes both third‑party vendor solutions and homegrown platforms, and we partner closely with engineering, data, and operations teams to ensure these products deliver meaningful, scalable value.</p><p>
As the NFS Product Team, we focus on defining product strategy, improving data integrity, and enabling optimized, automated, and data‑driven insights for our customers across Network, Facilities, Field Teams, and Business Partners. Our role is to understand user needs, translate them into clear product direction, and guide our solutions as they evolve, leveraging data and emerging technologies like AI to scale responsibly.</p><p>
If you&rsquo;re interested in learning how products are managed from vision to delivery, enjoy working across technical and business stakeholders, and want to contribute to solutions that support some of Comcast&rsquo;s most critical infrastructure, this is an opportunity to grow, learn, and make a real impact.</p><p></p><p><b>
Role Description</b></p><p>
Are you passionate about turning data into insights and helping teams build smarter, more scalable products? Do you enjoy solving complex problems at the intersection of data, technology, and user needs? If you&rsquo;re excited about working with real-world products that support large-scale operations, this is an opportunity to make a meaningful impact while learning from an experienced, highly motivated product team.</p><p>
As a Product / Data Analyst Co-op on the Product Management team, you will support the evolution of data-driven products that deliver optimized, automated analytics and solutions across Comcast&rsquo;s Network, Facilities, Field Teams, and Business Partners. You&rsquo;ll work closely with product managers, data teams, engineers, and stakeholders to analyze product data, improve data integrity, and evaluate opportunities to leverage AI as we scale our platforms.</p><p>
What are some interesting problems the student will work on?</p><p>
In this role, you will help tackle real, impactful challenges, such as:</p><ul><li>
Analyzing product and operational data to identify gaps, inconsistencies, and opportunities to improve data integrity.</li><li>
Supporting the definition and tracking of product metrics, KPIs, and dashboards that inform roadmap decisions.</li><li>
Evaluating how AI and automation can be responsibly introduced into existing workflows to improve efficiency and insights.</li><li>
Translating business and operational needs into clear analytical questions and product requirements.</li><li>
Collaborating with cross-functional teams to understand how data flows through our products and where it can be improved or scaled.</li></ul><p>
Where can this student make an impact?</p><p>
You will contribute directly to products that power data-driven decision-making for critical Comcast operations. Your work will help improve the accuracy, reliability, and usability of data used by Network, Facilities, and Field Teams&mdash;enabling better planning, faster insights, and more scalable solutions. Success in this role means clearer product insights, better-informed product decisions, and stronger foundations for future AI-driven capabilities.</p><p></p><p><b>
Job Responsibilities</b></p><p>
Responsibilities include but are not limited to:</p><p></p><ul><li>
Supporting product managers with data analysis, reporting, and product insights.</li><li>
Assisting in defining and documenting product requirements, metrics, and success criteria.</li><li>
Analyzing datasets to identify trends, anomalies, data quality issues, and opportunities for improvement.</li><li>
Helping maintain dashboards, reports, or models used to track product performance.</li><li>
Collaborating with engineering, data, and business partners to understand data workflows and product use cases.</li><li>
Providing research and analytical support for new features, enhancements, and roadmap initiatives.</li><li>
Other duties and responsibilities as assigned.</li></ul><p></p><p><b>
Preferred Skills</b></p><ul><li>
Strong analytical and problem-solving skills with attention to detail</li><li>
Experience or coursework in data analysis, statistics, or analytics tools (e.g., Excel, SQL, Python, R, or BI tools)</li><li>
Ability to translate data and analysis into clear insights and recommendations</li><li>
Interest in product management, analytics, AI, and data-driven decision-making</li><li>
Strong written and verbal communication skills</li><li>
Ability to work collaboratively in a cross-functional team environment</li><li>
Curiosity, initiative, and a willingness to learn in a fast-paced environment</li><li>
Preferred Majors: Computer Science, Data Science, Analytics, Information Systems, Engineering, Mathematics, Statistics, Business Analytics, or related fields</li></ul><p></p><p><b>
Minimum Qualifications and Eligibility Requirements</b></p><ul><li>
Currently pursuing a bachelor&rsquo;s degree from Drexel University, with a cooperative learning track.</li><li>
Available to work 40 hours per week for 6 months starting September 22, 2026, through March 26, 2027.</li><li>
Authorized to work in the United States with no current or future sponsorship needs</li><li>
Available to report in-person to the work location on the job posting</li></ul></div></div><p></p><p><br>
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.</p><p><b><br>
Skills:</b></p><p>
Relationship Building; Professional Etiquette; Accountability; Teamwork; Resilience; Communication</p><p><b><br>
Salary:</b></p><p>
Base Pay: $32.00<br>
<br>
The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.</p><p><br>
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That&rsquo;s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.</p><p><b><br>
Relevant Work Experience</b></p><p>
0-2 Years</p></div>

Comcast Product / Data Analyst Co-op

Supernova Technology™

<div>
 <strong>
  About Supernova Technology
  <br/>
  <br/>
 </strong>
 Founded in 2014, we offer the industry&rsquo;s first and only cloud-based, fully-customizable, end-to-end software solution to automate securities-based lending from origination through the life of the loan. By combining thought leadership in suitability and risk management with industry-leading education and the latest technology, Supernova enables advisors to deliver holistic, goals-based advice and to help their clients achieve financial wellness. We partner with the industry&rsquo;s largest banks, most prominent insurance companies and leading online brokerages to democratize access to securities-based lending and better the entire financial ecosystem.
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  <strong>
   Why Join Supernova?
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   <br/>
  </strong>
 </strong>
 At Supernova Technology, we believe that the best results come from a team that is passionate, driven, and supported in all aspects of their professional lives. Here, you&rsquo;ll work alongside talented and innovative individuals who are committed to driving the future of securities-based lending technology. We foster a culture of collaboration, continuous learning, and growth, where each person&rsquo;s contributions make a real impact.
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 <strong>
  About The Role
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 We are looking for a data analyst to support product managers and tech leads on securities-based lending system development. The goal is to ensure that the product development work and client projects are implemented successfully in all aspects and delivered timely with high quality. The data analyst will assist business analyst or research staff for data related research and analysis project assignments. The data analyst will have opportunities to gain hands on experience in financial data analysis, and how it works in fintech products.
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  Responsibilities
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   Work with product manager to define back testing and validation plans for new analytical models and perform testing and analysis
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   Carry out data analysis, comparison, and validation for product deployment projects for new clients to ensure high quality contents and functionalities
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   Participate process improvement projects in data flow and operations
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   Perform financial security data research and analysis, develop model such as multivariate regression analysis, simulations, or portfolio risk analytics
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  </li>
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  Qualifications
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   Bachelor&rsquo;s Degree in finance, engineering, or technology related fields
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   Highly analytical and quantitative thinking
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   Self-starter with high level of motivation
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   Detail oriented yet Systematic thinking yet is able to focus on details
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   Team-oriented
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   Proficient in SQL
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   Proficient in MS Office Suite, especially Microsoft Excel and Microsoft PowerPoint
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   Experience in data interpretation preferred
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   Experience in financial services, wealth management, or education industries preferred
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  </li>
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  Our Employee Benefits
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 </strong>
 At Supernova Technology, we provide a robust benefits package to support the health and well-being of our employees. Our offerings include:
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   Medical, Dental, and Vision Insurance: Multiple plans with coverage for employees and dependents.
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   HSA and FSA Accounts: Tax-advantaged accounts for health and dependent care expenses.
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   Life and Disability Insurance: Employer-paid basic coverage with options for additional voluntary coverage.
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   Compensation: $60,000 - $80,000 per year
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   Retirement Savings: 401(k) plan with employer contributions.
  </li>
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   Employee Assistance Program (EAP): Confidential support services, including free therapy sessions.
  </li>
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   Paid Time Off: Flexible PTO policies.
  </li>
  <li>
   Additional Perks: Commuter benefits, pet insurance, continuing education assistance, and more.
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  </li>
 </ul>
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  <em>
   Note: Actual salary at the time of hire may vary and may be above or below the range based on various factors, including but not limited to, the candidate's relevant qualifications, skills and experience, and the location where this position may be filled.
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  </em>
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   Our Core Values
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 Our core values drive everything we do. At Supernova, we...
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   Form, execute, and communicate new ideas that add value to our employees and customers
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   Strive through obstacles and failures
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   Follow-through on promises or commitments to others, accept responsibility, and answer for actions &amp; decisions
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   Listen to, understand, and support our employees and customers
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   Act with speed, positive attitude, and flexibility
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   Exceed expectations and surpass ourselves every day; we embrace a sense of pride and never stop growing
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   Join us and make an impact while growing your career at Supernova!
  </strong>
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</div>


Data Analyst

Mann+Hummel

<div></div><div><div><div><div><div>Job Vacancies</div>
</div></div></div><div></div><div><div><div>Back
</div></div></div><div><div><div><p>Packaging Analyst</p>
<p>Fayetteville, United States | Development &amp; Design | Experienced | Unlimited | March 11, 2026
</p><div><div><div>Apply now</div>
</div><div></div><div><div><div><div><div>SHARE</div>
</div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><div>As worldwide experts in filtration, MANN+HUMMEL develop solutions for vehicles, industrial applications, clean air inside vehicles and the sustainable use of water. With team spirit and an open culture of communication, we are continuously working towards achieving our vision of &lsquo;leadership in filtration&rsquo;. Become part of our team.</div>
</div></div></div></div></div></div></div><div><div><div>Job Description
</div></div><div><div><div><div><div><div>ROLE SUMMARY</div></div><div><p>
This is an Onsite position based at our location in Fayetteville, NC.</p><p></p><ul><li><br>
No Visa sponsorships will be available for this position.</li></ul></div></div><p></p><div><div><div><br>
JOB RESPONSIBILITIES</div></div><div><ul><li>
Verify product packaging configurations based on ergonomic, customer, and transportation requirements</li><li>
Gather relevant information from Product and Process Engineers for Production Bill of Materials (PBOM) and create them in SAP</li><li>
Create, manage, and direct mass uploads of material data to SAP via Microsoft Excel with data gathered from other files via Excel&rsquo;s lookup and conditional functions</li><li>
Create and maintain visual packaging documents for all products</li><li>
Assist in the creation, approval and release of graphics as required</li><li>
Support Purchasing and Product Management in the development packaging with external vendors</li><li>
Create and maintain Packaging label and UPC code database in Bartender software</li><li>
Maintain documentations within MANN+HUMMEL Product Data Management Software (CimDB) and WIX Engineering database</li><li>
Support engineering workflows for new part introduction and initiate and process technical changes as assigned</li><li>
Ownership and initiative to support department and company through a pro-active and positive attitude</li></ul></div></div><div><div><div>
REQUIREMENTS</div></div><div><p>
Education:</p><ul><li>
Bachelor&rsquo;s degree in Business, Marketing or Packaging, or Associate&rsquo;s degree and 1 year of relevant experience</li></ul><p>
Required Skills:</p><ul><li>
Demonstrated ability in extracting, analyzing and manipulating data within Excel files using advanced lookup functions</li><li>
Working knowledge of and intermediate proficiency with Microsoft Word, Excel and other Windows applications</li></ul><p>
Preferred Experience &amp; Skills:</p><ul><li>
Experience in packaging, prepress operations or business management</li><li>
Experience with TOPS or other packaging software</li><li>
Experience with SAP or other ERP systems</li><li>
Experience with CAD</li></ul><p></p><div><br>
#LI - Onsite</div></div></div></div>
</div></div></div><div><div><div><div><div><div><div><div>Are you full of ideas? Are you keen to take on responsibility and really achieve something? Then our doors are open to you. This company lives out its values, gives people the freedom to use their own initiative, and offers many development exciting opportunities and many exciting projects &ndash; all of which awaits you here.</div></div></div></div></div></div></div></div></div>

Packaging Analyst

Interviews Chat

<div>
 Interviews Chat is an AI platform that helps people ace their job interviews. Our Interview Copilot listens to live meetings and provides real-time answers and suggestions. We&rsquo;re scaling fast, trusted by thousands of professionals worldwide, and building new products (Chrome extension, mobile app, desktop app) to reach even more users.
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 We&rsquo;re looking for a Data Analyst to help us understand how users interact with our product and turn data into clear, actionable insights. You&rsquo;ll work closely with the founder, product, and growth to answer questions like what drives conversions, what causes churn, and which features actually matter.
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  <strong>
   What You&rsquo;ll Do:
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   Analyze product, usage, and revenue data to uncover trends and insights.
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   Build dashboards and reports for metrics like conversion, retention, churn, and feature usage.
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   Run cohort analyses to understand user behavior over time.
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   Investigate funnels (visit &rarr; signup &rarr; paid) and identify drop-off points.
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   Support pricing, onboarding, and feature decisions with data.
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   Translate numbers into clear recommendations that non-technical teammates can act on.
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   What We&rsquo;re Looking For:
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 <ul>
  <li>
   Experience working with product, growth, or revenue data in a SaaS environment.
  </li>
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   Strong SQL skills and comfort working with analytics databases.
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  <li>
   Experience with analytics tools (e.g. PostHog, Mixpanel, Amplitude, GA4, or similar).
  </li>
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   Ability to communicate insights clearly in written English.
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   Strong analytical thinking and curiosity &mdash; you ask why, not just what.
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   Bonus: experience with A/B testing, experimentation, or subscription analytics.
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  <strong>
   What We Offer:
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   100% remote work with flexible hours.
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   Competitive salary (depending on experience).
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   Direct impact on a growing AI startup.
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   Small team, fast feedback loop, no bureaucracy.
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   Real ownership over how data is used across the company.
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  </li>
 </ul>
 <strong>
  <strong>
   About Interviews Chat:
   <br/>
   <br/>
  </strong>
 </strong>
 Interviews Chat is your AI-powered Interview Copilot for job interviews. We help candidates prep smarter and perform better with real-time answers and tailored feedback. Whether it&rsquo;s a behavioral round or a live coding challenge, our tools are designed to give job seekers an edge&mdash;confidently, ethically, and in over 30 languages.
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 We&rsquo;re growing fast and backed by thousands of users who rely on us to land their next role. Join us in reshaping how the world prepares for interviews.
 <br/>
 <br/>
 <strong>
  <strong>
   About Interviews Chat:
   <br/>
   <br/>
  </strong>
 </strong>
 Interviews Chat is your AI-powered Interview Copilot for job interviews. We help candidates prep smarter and perform better with real-time answers and tailored feedback. Whether it&rsquo;s a behavioral round or a live coding challenge, our tools are designed to give job seekers an edge&mdash;confidently, ethically, and in over 30 languages. We&rsquo;re growing fast and backed by thousands of users who rely on us to land their next role. Join us in reshaping how the world prepares for interviews.
</div>


Stellar Hunters

<div><h4 class="jobSectionHeader"><b>Job Summary</b></h4>
<p>
We are seeking a skilled and detail-oriented <b>Data Analyst</b> to join our team. The successful candidate will work closely with Product, Engineering, and Business teams to transform data into actionable insights that inform product decisions, improve operations, and support strategic initiatives. This role requires strong experience in data analysis, SQL, visualization, and effective communication of findings to technical and non-technical stakeholders.</p>
<h4 class="jobSectionHeader"><b>Key Responsibilities</b></h4>
<h5 class="jobSectionHeader"><b>Data Analysis &amp; Insight Generation</b></h5>
<ul>
<li><p>Collect, clean, and analyze structured and unstructured data from multiple sources to support product, marketing, and operations teams.</p>
</li><li><p>Develop and maintain reports and dashboards that communicate key performance indicators (KPIs), trends, and anomalies.</p>
</li><li><p>Perform exploratory data analysis and root-cause investigations to answer business questions and recommend data-driven actions.</p>
</li></ul><h5 class="jobSectionHeader"><b>Data Modeling &amp; Pipeline Collaboration</b></h5>
<ul>
<li><p>Collaborate with Data Engineering to define data requirements, improve ETL/ELT processes, and ensure data quality and consistency.</p>
</li><li><p>Design and validate data models and metrics to ensure reliable and repeatable analyses across teams.</p>
</li><li><p>Document data sources, transformation logic, and metric definitions to promote transparency and reproducibility.</p>
</li></ul><h5 class="jobSectionHeader"><b>Reporting, Visualization &amp; Communication</b></h5>
<ul>
<li><p>Create clear, effective visualizations and presentations that communicate insights, trade-offs, and recommendations to stakeholders.</p>
</li><li><p>Partner with Product and Business teams to translate analytic results into prioritized roadmap items and operational improvements.</p>
</li><li><p>Provide ad-hoc analyses and respond to data requests with well-documented methodologies and reproducible code.</p>
</li></ul><h5 class="jobSectionHeader"><b>Testing, Measurement &amp; Experimentation</b></h5>
<ul>
<li><p>Support experiment design, implementation, and analysis (A/B testing), including metric selection, power calculations, and interpretation of results.</p>
</li><li><p>Define and track success metrics for new features and product launches to measure impact and guide iteration.</p>
</li><li><p>Implement monitoring to detect data drift, metric regressions, and pipeline failures impacting business reporting.</p>
</li></ul><h5 class="jobSectionHeader"><b>Documentation, Governance &amp; Collaboration</b></h5>
<ul>
<li><p>Maintain thorough documentation of analyses, dashboards, data dictionaries, and standard operating procedures.</p>
</li><li><p>Advocate for data governance best practices, including access controls, lineage tracking, and consistent metric definitions.</p>
</li><li><p>Mentor colleagues on data literacy and partner across teams to embed analytics into decision-making processes.</p>
</li></ul><h4 class="jobSectionHeader"><b>Required Qualifications - Skills &amp; Experience</b></h4>
<ul>
<li><p>Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field, or equivalent practical experience.</p>
</li><li><p>2+ years of professional experience in an analytics or data-focused role, preferably supporting product or operations teams.</p>
</li><li><p>Proficiency in SQL for data extraction, transformation, and analysis; experience optimizing complex queries and working with large datasets.</p>
</li><li><p>Experience building dashboards and visualizations using tools such as Looker, Tableau, Power BI, or equivalent.</p>
</li><li><p>Familiarity with statistical methods, hypothesis testing, and basic causal inference concepts used in experimentation and analysis.</p>
</li><li><p>Comfort with Python or R for data manipulation and analysis (pandas, numpy, scipy, or tidyverse) and reproducible reporting.</p>
</li><li><p>Strong problem-solving skills, attention to detail, and effective written and verbal communication for presenting findings to diverse audiences.</p>
</li></ul><h4 class="jobSectionHeader"><b>Preferred Qualifications</b></h4>
<ul>
<li><p>Experience with cloud data platforms and warehouses (BigQuery, Snowflake, Redshift) and familiarity with SQL dialects and performance tuning.</p>
</li><li><p>Knowledge of data engineering concepts, ETL/ELT frameworks, and experience collaborating with engineering teams to productionize analyses.</p>
</li><li><p>Experience with experimentation platforms and advanced causal inference or machine learning techniques to inform product decisions.</p>
</li><li><p>Experience with version control (Git), workflow automation, and code review practices for analytical codebases.</p>
</li><li><p>Relevant certifications or coursework in data analytics, statistics, or data engineering are a plus.</p>
</li></ul><h4 class="jobSectionHeader"><b>Work Environment &amp; Compensation</b></h4>
<ul>
<li><p>Full-time role with a hybrid onsite/remote work model; occasional travel may be required for team meetings or cross-functional collaboration.</p>
</li><li><p>Competitive salary commensurate with experience and a comprehensive benefits package, including health insurance, retirement plan options, and paid time off.</p>
</li><li><p>Opportunities for professional development, training reimbursement, and career growth within Analytics, Product, and Engineering functions.</p>
</li><li><p>Inclusive and respectful workplace culture that values diversity, equity, and work-life balance.</p></li></ul></div>

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
The purpose of the Senior Data Analyst for Product Data Insights &amp; Tooling is to turn our vast item catalog into a high-performance engine for decision-making. The Senior Data Analyst is responsible for leveraging complex, large-scale data to derive actionable insights that directly influence and support executive-level merchandising strategy. This role requires a blend of advanced technical data manipulation skills and a deep understanding of retail merchandising principles to translate raw data into clear, impactful business recommendations. In this position, the Senior Data Analyst will build and support automation, leverage AI tooling, and collaborate cross-functionally in alignment with the executive strategy. The position requires knowledge of merchandising, an analytical skillset, and an entrepreneurial mindset.</p><p></p><p>
Key responsibilities include:</p><ul><li>
Manipulating and analyzing large, complex datasets to identify trends, patterns, and opportunities related to category and product performance, customer behavior, and market dynamics.</li><li>
Translating analytical findings into concise, compelling recommendations and presenting them to leadership to inform and validate merchandising strategies.</li><li>
Developing and maintaining dashboards and reports to track key performance indicators, effectively communicating merchandising insights to cross-functional stakeholders.</li><li>
Partnering with cross-functional teams to align analytical projects with overarching business goals and providing data-driven guidance.</li></ul><p><b><br>
Key Responsibilities:</b></p><ul><li>
Represents the Merchandising function in business process evaluation, procedural development, systems requirements definition and systems functional design.</li>
Project/Initiative Management<li>-Partners with senior and department management and cross-functional teams in determining and defining business need/requirements; project plans, risk assessments, communication, implementation, training and change management</li><li>
Manages the business and project team expectations including addressing project issues, changes; May directly supervise staff members in the development, implementation and support of applications and business processes to meet the client's business requirements.</li><li>
Driving the requirements gathering efforts for a project (either development or implementation), including managing the expectations of the project manager, the stakeholders, the project team and executive management.</li><li>
Proposing alternatives and solutions to requirements management for each project that most closely aligns with the specific timetables, objectives and business issues at hand.</li><li>
Consulting with cross-functional managers, project managers, management and customers to ensure that all projects undertaken adequately address requirement related issues. Understanding the business case behind all projects, including the motivating factors for all stakeholders. Working with the Business Manager to analyze all potential opportunities to enhance, improve and refine the requirements gathering processes.</li><li>
Establishes and reports on metrics of assigned projects to gauge business value (ROI).; Audits and evaluates implemented projects (systems/processes, for example) to support continuous improvement opportunities.</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
Typically reports to Manager or Senior Manager Merchandise Mgt Systems</li><li>
No associates report to this role on a permanent basis, but requires the leadership of a work group: assign and review work, train and contribute to performance appraisal (but not hiring, firing or disciplinary action).</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Business, Analytics, Data Science, or a related field.</li><li>
3-5+ years of experience in a data analytics role, preferably within a retail or merchandising environment.</li><li>
Proven expertise in manipulating and analyzing large datasets using SQL and/or other programming languages (e.g., Python, R).</li><li>
Strong proficiency with data visualization tools such as Tableau or Power BI.</li><li>
Excellent ability to communicate complex data concepts and recommendations to both technical and non-technical audiences, including senior leadership.</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
5</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Proficient in business process evaluation and procedure development; Demonstrates a thorough knowledge of all tools, processes, methodologies and standards for requirements gathering, documentation and analysis.</li><li>
Previous experience supervising professionals</li><li>
Experience or in-depth knowledge of retail merchandising and/or logistics; possesses cross functional retail knowledge.</li><li>
Strong communication, analytical, organizational, leadership and teamwork skills; Demonstrated experience in process improvement and/or SDLC and project management methodology</li><li>
PC proficiency, including knowledge of worksheet, word processing, project management and presentation applications</li></ul></div><p></p>

Senior Analyst, Item Data Management – Data Quality

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