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Product Manager Data Analytics Jobs in Atlanta, GA

Digital Analytics * Data Products * Decision Science * Executive Storytelling The successful ... Act as the subject matter expert for analytics methodologies Job Summary Responsible for managing ...

Manager, Data Analytics We're looking for someone who can sit between the business and the ... Write production Python to automate manual processes, build data pipelines, and replace legacy bots ...

Manager, Data Analytics We're looking for someone who can sit between the business and the ... Write production Python to automate manual processes, build data pipelines, and replace legacy bots ...

Manager, Data Analytics We're looking for someone who can sit between the business and the ... Write production Python to automate manual processes, build data pipelines, and replace legacy bots ...

... data. * Provides support to multiple departments to ensure that business intelligence, analytics ... Manages project communications between all departments. Communicates directly with team members to ...

... data. * Provides support to multiple departments to ensure that business intelligence, analytics ... Manages project communications between all departments. Communicates directly with team members to ...

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Showing results 1-20

Product Manager Data Analytics information

See Atlanta, GA salary details

$49.5K

$153.3K

$189.4K

How much do product manager data analytics jobs pay per year?

As of Sep 8, 2026, the average yearly pay for product manager data analytics in Atlanta, GA is $153,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,600.00 and $189,400.00 per year, depending on experience, location, and employer.

What is a product manager data analytics?

A Product Manager Data Analytics is a professional responsible for overseeing the development, strategy, and success of data analytics products or features within an organization. They work at the intersection of business, technology, and data, collaborating with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure analytics solutions meet user and business needs. Their role involves understanding market trends, user requirements, and translating complex data insights into actionable product enhancements. Ultimately, they drive the product lifecycle to deliver value through data-driven decision making.

How does a product manager data analytics typically collaborate with data scientists and engineers on a project?

As a Product Manager in Data Analytics, you serve as the bridge between business stakeholders and technical teams. You'll work closely with data scientists to define project objectives, ensure that analytical models align with business needs, and prioritize features based on user impact. Collaboration with data engineers is essential for understanding data infrastructure requirements and ensuring reliable data pipelines. Regular communication, sprint planning, and joint problem-solving sessions are core to fostering alignment and delivering successful analytics solutions.

What are the key skills and qualifications needed to thrive as a product manager data analytics, and why are they important?

To thrive as a Product Manager in Data Analytics, you need a strong background in data analysis, product lifecycle management, and business strategy, often supported by a degree in business, computer science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and experience with analytics platforms are typically required, and certifications such as Certified Scrum Product Owner (CSPO) can be advantageous. Exceptional communication, problem-solving, and stakeholder management skills help you bridge technical teams and business objectives. These abilities are crucial for delivering data-driven products that meet user needs and provide measurable business value.

What is the difference between Product Manager Data Analytics vs Data Analyst?

AspectProduct Manager Data AnalyticsData Analyst
Primary FocusOverseeing data-driven product strategies and roadmapsAnalyzing data to generate reports and insights
Skills & CertificationsProduct management, data analytics, SQL, communicationData analysis, SQL, Excel, visualization tools
Work EnvironmentCross-functional teams, product development cyclesData teams, business units, reporting environments
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare, tech

Product Manager Data Analytics focuses on guiding product strategies using data insights, while Data Analysts primarily analyze data to produce reports. Both roles require analytical skills and familiarity with data tools, but their responsibilities and scope differ significantly.

Do product managers do data analysis?

Product managers often perform data analysis to inform product decisions, track performance metrics, and understand user behavior. They use tools like SQL, Excel, or analytics platforms to interpret data and prioritize features, but they typically collaborate with data analysts or data scientists for complex analysis. Strong analytical skills are valuable in this role to support data-driven decision-making.

What are popular job titles related to Product Manager Data Analytics jobs in Atlanta, GA?

For Product Manager Data Analytics jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Product Manager Data Analytics jobs in Atlanta, GA look for?

The top searched job categories for Product Manager Data Analytics jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Product Manager Data Analytics jobs?

Cities near Atlanta, GA with the most Product Manager Data Analytics job openings:

Infographic showing various Product Manager Data Analytics job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $153,293 per year, or $73.7 per hour.

Manager, Data Analytics

HD Supply

Atlanta, GA • On-site

Full-time

Re-posted 19 days ago


HD Supply rating

7.7

Company rating: 7.7 out of 10

Based on 156 frontline employees who took The Breakroom Quiz

157th of 430 rated retail wholesalers


Job description

This role sits at the intersection of:

  • Analytics Engineering
  • Marketing Science
  • Digital Analytics
  • Data Products
  • Decision Science
  • Executive Storytelling

The successful candidate will be equally comfortable discussing SQL architecture, experiment design, attribution methodology, business strategy, and executive recommendations.

Core Requirements

Technical Depth

Advanced SQL & Data Modeling

Must demonstrate experience with:

  • Complex analytical data models
  • Large-scale data transformation
  • Multi-source data integration
  • Window functions
  • Complex CTE development
  • Session-level and customer-level analysis
  • Production-ready data model design

Analytics Engineering

Must have experience:

  • Snowflake or modern cloud data platforms
  • Data pipeline ownership
  • Data quality validation
  • Metric governance
  • Scalable analytics solutions
  • Production dataset development

Digital & Ecommerce Analytics

Experience with:

  • Clickstream analytics
  • Customer journey analysis
  • Search analytics
  • Conversion funnels
  • Attribution models
  • Ecommerce performance measurement

Adobe Analytics experience is desired but not required.

Python

Strong preference for:

  • Pandas
  • Automation
  • Analytical workflows
  • Reporting automation
  • Data science tooling

Business & Leadership Expectations

The individual must be able to:

  • Translate technical findings into business decisions
  • Work directly with senior leaders
  • Influence product, marketing, and technology teams
  • Build trust in metrics and measurement
  • Resolve conflicting business interpretations
  • Act as the subject matter expert for analytics methodologies

Job Summary

Responsible for managing team efforts to develop easily repeatable reports and dashboards that allow internal clients to make data-driven decisions. Implements strategies that result in measurable financial returns. Works with various business stakeholders to develop insights and understand customer data.

Major Tasks, Responsibilities, and Key Accountabilities

  • Tests, analyzes, and solves data issues to ensure data integrity. Provides technical support for end users of the self-service business intelligence tool.
  • Develops complex reporting dashboards and scorecards. Reports and analyzes data for all areas of the business to drive results and guide business intelligence decisions.
  • Collaborates with Sales, Marketing, Customer Care, and Strategy to target insights and understand customer behavioral data.
  • Provides support to multiple departments to ensure that business intelligence, analytics, and reporting needs are met and delivered through technology, architecture, processes, and tools.
  • Manages project communications between all departments. Communicates directly with team members to monitor scheduled deliverables, relay revision requests, record progress, and address obstacles as needed.
  • Designs and manages multivariate and/or A/B testing for marketing and web evolution.

Nature and Scope

  • Solutions require analysis and investigation.
  • Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience.
  • Manages a group or team of professional individual contributors and/or indirectly supervises support staff.

Work Environment

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • 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.
  • Typically requires overnight travel 20% to 50% of the time.

Education and Experience

  • Typically requires BS/BA in a related discipline. Generally 7+ years of experience in a related field. May require certification. Advanced degree may offset less experience in some disciplines.

Our Goals for Diversity, Equity, and Inclusion

We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.

Equal Employment Opportunity

HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.


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