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manager decision analytics enterprise data products

The Home Depot

<div>Position Purpose:
The Data Product Managers own the end-to-end lifecycle of data products from ideation through launch and ongoing optimization, ensuring they are high-quality, trusted, and deliver measurable business value. This role bridges business, analytics, and engineering teams to define data strategies, prioritize opportunities, and deliver scalable solutions that enable data-driven decision-making across the enterprise 
Key Responsibilities:<ul><li>
40% Collaborate with stakeholders, business partners, colleagues, developers and business analysts to deliver high quality analytics solutions</li><li>
45% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
5% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a Sr Manager, Decision Analytics.</li><li>
This position has 1 direct report</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<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> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master's degree in Analytics, Finance, or Information Systems or related field is preferred</li><li>
Five to seven years of experience in analytics or data science is preferred</li><li>
2+ years of experience building datasets consumed by analysts/data scientists</li><li>
Experience in SQL, SAS, Tableau, R, python and similar tools preferred</li></ul> 
Minimum Education:<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> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
4</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
None</li></ul></div>

Manager Decision Analytics - Enterprise Data Products

<div><div><div>Position Purpose:</div><div> 
The Senior Data Engineer is an experienced individual contributor responsible for designing, building, and operating scalable data platforms and data products within the Enterprise Data Warehouse (EDW). This includes developing and maintaining core data domains, semantic layers, and enabling downstream analytics consumers. This engineer partners with staff and principal engineers to implement established architectural patterns, contribute to platform modernization efforts, and provide technical guidance through collaboration and code reviews while remaining hands‑on in complex backend data engineering work. The role emphasizes reliability, performance, cost efficiency, and analytical correctness across the EDW ecosystem.</div>
Key Responsibilities:<ul><li>
50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens</li><li>
20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people</li><li>
10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<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> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
2-4 years of experience in backend data engineering or analytics platform engineering</li><li>
Strong hands-on experience with cloud data warehouses (BigQuery strongly preferred)</li><li>
Advanced SQL expertise and strong working knowledge of Python</li><li>
Proven experience designing enterprise-grade data models, including curated/ADS datasets</li><li>
Experience building and supporting semantic layers (AtScale preferred, but not required)</li><li>
Experience with universal or shared semantic modeling across multiple domains or products</li><li>
Experience with CI/CD and orchestration frameworks, including Jenkins and Airflow</li><li>
Strong understanding of performance tuning and cost optimization techniques in large data environments</li><li>
Experience designing systems for high availability, resilience, and scalability</li><li>
Ability to work across teams and influence architectural decisions without direct authority</li></ul> 
Minimum Education:<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> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.</div> 
Apply End Date: 05/11/2026</div>

Senior Software Engineer, Supply Chain Data & Analytics (Remote)

<div><div>Position Purpose:
This Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical platforms and partnering with cross-functional teams to deliver high quality analytics solutions for the Home Depot. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights, with a passion to learn and develop.
The PLA Pricing team develops pricing and yield optimization systems which support Orange Apron Media's (OAM's) Product Listing Ad (PLA) business. This involves statistical and ML solutions written in Python &amp; SQL. These solutions are then orchestrated at scale using Google Cloud Platform services such as Dataform and Composer.
This role interfaces heavily with the Strategy, Product, and Engineering teams that also support the PLA business. Strong technical communication skills are needed for collaboration and to translate business asks into technical deliverables. 
Key Responsibilities:<ul><li>
40% Collaborate with stakeholders, business partners, colleagues, developers and business analysts to deliver high quality analytics solutions</li><li>
45% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
5% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a Sr Manager, Decision Analytics.</li><li>
This position has 1 direct report</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<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> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master's degree in Analytics, Data Science, Finance, or related field is preferred</li><li>
Five to seven years of experience in analytics is preferred</li><li>
Experience with SQL and Python</li></ul> 
Minimum Education:<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> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
4</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
None</li></ul></div> 
Apply End Date: 04/02/2026</div>

Manager, Quant Research - PLA Pricing (Remote)

<div>Position Purpose:
The Sr Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. This role also works closely with the Director of Decision Analytics in defining the analytical strategy and approach for projects and processes. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for The Home Depot. This role is expected to leverage effective storytelling skills to translate complex analyses into understandable insights, with a passion to learn and develop. 
Key Responsibilities:<ul><li>
60% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions</li><li>
25% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
5% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a Director.</li><li>
This position has 1 direct reports.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<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> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master's degree in Analytics, Finance, or Information Systems or related field is preferred</li><li>
Eight or more years of experience in analytics is preferred</li><li>
Experience in SQL, SAS, Tableau, R, python and similar tools preferred</li></ul> 
Minimum Education:<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> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
6</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
None</li></ul></div>

Senior Manager Decision Analytics

Franklin Fitch

<div>
 
 The AI Adoption Manager is responsible for leading the enterprise-wide adoption, implementation, and evolution of artificial intelligence capabilities across the organization. Acting as both a strategist and hands-on builder, this role translates AI potential into practical solutions that improve operational efficiency, unlock the value of organizational data, and embed AI into the daily workflows of teams across the business.
 
 
 
 
 
 This role owns the full lifecycle of AI enablement - from identifying high-impact opportunities and designing AI strategies to configuring tools, training teams, managing governance, and measuring business outcomes.
 
 
 
 
 
 
 Key Outcomes &amp; Responsibilities
 
 
 <ul>
 <li>
 Identify and prioritize high-impact AI use cases across the enterprise.
 </li>
 <li>
 Assess AI readiness, current initiatives, and data maturity.
 </li>
 <li>
 Develop and communicate an enterprise AI strategy aligned to business goals.
 </li>
 <li>
 Deliver quick-win pilots to demonstrate early value and build momentum.
 </li>
 <li>
 Lead staged rollout and configuration of enterprise AI tools.
 </li>
 <li>
 Build and deploy AI solutions (e.g., knowledge assistants, automation workflows).
 </li>
 <li>
 Partner with IT for secure integration and system optimization.
 </li>
 <li>
 Manage pilot programs, refine use cases, and scale successful initiatives.
 </li>
 <li>
 Design and deliver role-based AI training programs.
 </li>
 <li>
 Build internal AI champion networks and user communities.
 </li>
 <li>
 Execute change management strategies to ensure adoption and reduce resistance.
 </li>
 <li>
 Communicate AI value, purpose, and responsible usage across teams.
 </li>
 <li>
 Assess and improve enterprise data quality, accessibility, and integration.
 </li>
 <li>
 Collaborate with data teams to strengthen governance and hygiene.
 </li>
 <li>
 Ensure AI initiatives are based on trusted and compliant data sources.
 </li>
 <li>
 Implement AI governance, privacy, and ethical standards.
 </li>
 <li>
 Conduct audits of AI outputs, usage, and data to mitigate risk.
 </li>
 <li>
 Balance innovation with security, compliance, and brand safety.
 </li>
 <li>
 Track AI adoption, utilization, and business impact.
 </li>
 <li>
 Optimize AI tool allocation and ROI.
 </li>
 <li>
 Capture success stories and continuously improve AI capabilities.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, IT, Data Science, or related field.
 </li>
 <li>
 Experience in enterprise software implementation, digital transformation, AI enablement, or product ownership.
 </li>
 <li>
 Hands-on experience configuring or implementing AI tools, chatbots, automation platforms, or SaaS solutions.
 </li>
 <li>
 Strong understanding of change management and technology adoption practices.
 </li>
 <li>
 Knowledge of data governance, privacy, and security considerations related to AI.
 </li>
 <li>
 Experience working with platforms such as Microsoft Copilot, Azure AI, OpenAI, or similar technologies.
 </li>
 <li>
 Familiarity with data integration, analytics platforms, or master data management practices.
 </li>
 <li>
 Certifications in AI governance, change management, or enterprise architecture.
 </li>
 </ul>
 
 
</div>

AI Adoption Manager

Purchasing Power, LLC

<div><div><div>Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a FinTech holding company with more than 20 years of experience, we&rsquo;re focused on building simple, responsible financial solutions that put people first. PROG Holdings&rsquo; portfolio includes Progressive Leasing, a market leader in lease‑to‑own solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform &mdash; all united by a commitment to innovation, access, and meaningful impact.
We&rsquo;re looking for a Data Engineer to support the development and operation of our enterprise data platform. This role is highly tactical and execution‑focused, contributing directly to the reliability, scalability, and performance of our AWS‑based data ecosystem.
You&rsquo;ll work closely with the Senior Director of Data Engineering and platform team to design, build, and maintain streaming and batch data pipelines, supporting real‑time ingestion, transformation, and delivery into analytics and reporting systems. This is a great opportunity for someone who enjoys working in distributed systems and wants to have a direct impact on how data is delivered across the business.
WHAT YOU&rsquo;LL WORK ON
Data Pipeline Development<ul><li>
Develop and maintain streaming and batch data pipelines using Kafka, Spark, and related technologies</li><li>
Implement ingestion pipelines using Kafka Connect and CDC patterns</li><li>
Build transformation and enrichment processes using Spark and PySpark</li><li>
Ensure reliable data delivery to downstream platforms including Greenplum, Elastic, S3, and analytics tools</li></ul>
Streaming Platform Support<ul><li>
Support Kafka topic configuration, partitioning strategies, and consumer group management</li><li>
Assist with schema registration and schema evolution practices</li><li>
Troubleshoot streaming pipeline issues and optimize performance</li><li>
Help maintain data integrity and reliability across distributed systems</li></ul>
Data Processing &amp; Transformation<ul><li>
Implement business logic and transformations within Spark processing frameworks</li><li>
Develop and maintain Airflow DAGs (or equivalent orchestration workflows)</li><li>
Build lookup and enrichment logic for streaming and batch pipelines</li><li>
Ensure data quality through validation, monitoring, and alerting practices</li></ul>
Platform Operations<ul><li>
Monitor pipeline performance, failures, and data latency</li><li>
Assist with observability and monitoring using tools such as Elastic and Kibana</li><li>
Support incident resolution and root‑cause analysis for data pipeline issues</li><li>
Contribute to system performance tuning and platform optimization</li></ul>
Collaboration<ul><li>
Work closely with the Data Engineering Manager to implement platform architecture</li><li>
Partner with analytics and reporting teams to support BI and data delivery needs</li><li>
Assist with evolving platform integrations and modernization initiatives</li></ul> 
WHAT YOU BRING<ul><li>
3&ndash;5+ years of experience in data engineering or distributed data systems</li><li>
Hands‑on experience building and maintaining pipelines using Spark / PySpark</li><li>
Experience working with Kafka or other streaming platforms</li><li>
Strong SQL skills and experience with data transformation</li><li>
Experience with data orchestration tools such as Apache Airflow</li><li>
Familiarity with AWS‑based data environments</li><li>
Strong troubleshooting and debugging skills for data pipelines</li><li>
Curiosity, adaptability, and comfort working in evolving technical environments</li><li>
AI‑enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve.</li></ul> 
WHY THIS ROLE IS UNIQUE<ul><li>
We act with intensity, urgency, and a passion for supporting our customers and growing our business</li><li>
We hold ourselves accountable and approach challenges with a positive, &ldquo;can‑do&rdquo; mindset</li><li>
We deliver as one team, working with integrity, trust, transparency, and respect</li><li>
We believe diversity, authenticity, and curiosity make us better and fuel innovation</li><li>
We continuously ask: Is there a better way?</li></ul> 
WHAT WE OFFER<ul><li>
Hybrid work model (Atlanta‑based)</li><li>
Comprehensive benefits: medical, dental, vision, company‑paid Basic Life &amp; AD&amp;D</li><li>
401(k) Retirement Plan</li><li>
Flexible Paid Time Off</li><li>
Career Development opportunities</li><li>
Employee Purchase Program</li></ul></div></div></div>

Data Engineer (Hybrid - Atlanta, GA)

Progressive Leasing

<div><div>Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. With more than 20 years in FinTech, we&rsquo;ve grown from start-up to industry leader by innovating, simplifying, and valuing people. We are a subsidiary of PROG Holdings (NYSE: PRG), a FinTech holding company with three business segments: Progressive Leasing, Purchasing Power (a leading employee purchase program for consumer products and services using payroll deduction), and Four, a Buy Now Pay Later (BNPL) platform.</div><div></div><div> 
Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a FinTech holding company with more than 20 years of experience, we&rsquo;re focused on building simple, responsible financial solutions that put people first. PROG Holdings&rsquo; portfolio includes Progressive Leasing, a market leader in lease‑to‑own solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform &mdash; all united by a commitment to innovation, access, and meaningful impact.</div><div></div><div>
We&rsquo;re looking for a Data Engineer to support the development and operation of our enterprise data platform. This role is highly tactical and execution‑focused, contributing directly to the reliability, scalability, and performance of our AWS‑based data ecosystem.</div><div></div><div>
You&rsquo;ll work closely with the Senior Director of Data Engineering and platform team to design, build, and maintain streaming and batch data pipelines, supporting real‑time ingestion, transformation, and delivery into analytics and reporting systems. This is a great opportunity for someone who enjoys working in distributed systems and wants to have a direct impact on how data is delivered across the business.</div><div></div><div>
WHAT YOU&rsquo;LL WORK ON</div><div>
Data Pipeline Development</div><ul><li>
Develop and maintain streaming and batch data pipelines using Kafka, Spark, and related technologies</li><li>
Implement ingestion pipelines using Kafka Connect and CDC patterns</li><li>
Build transformation and enrichment processes using Spark and PySpark</li><li>
Ensure reliable data delivery to downstream platforms including Greenplum, Elastic, S3, and analytics tools</li></ul><div>
Streaming Platform Support</div><ul><li>
Support Kafka topic configuration, partitioning strategies, and consumer group management</li><li>
Assist with schema registration and schema evolution practices</li><li>
Troubleshoot streaming pipeline issues and optimize performance</li><li>
Help maintain data integrity and reliability across distributed systems</li></ul><div>
Data Processing &amp; Transformation</div><ul><li>
Implement business logic and transformations within Spark processing frameworks</li><li>
Develop and maintain Airflow DAGs (or equivalent orchestration workflows)</li><li>
Build lookup and enrichment logic for streaming and batch pipelines</li><li>
Ensure data quality through validation, monitoring, and alerting practices</li></ul><div>
Platform Operations</div><ul><li>
Monitor pipeline performance, failures, and data latency</li><li>
Assist with observability and monitoring using tools such as Elastic and Kibana</li><li>
Support incident resolution and root‑cause analysis for data pipeline issues</li><li>
Contribute to system performance tuning and platform optimization</li></ul><div>
Collaboration</div><ul><li>
Work closely with the Data Engineering Manager to implement platform architecture</li><li>
Partner with analytics and reporting teams to support BI and data delivery needs</li><li>
Assist with evolving platform integrations and modernization initiatives</li></ul><div></div><div>
WHAT YOU BRING</div><ul><li>
3&ndash;5+ years of experience in data engineering or distributed data systems</li><li>
Hands‑on experience building and maintaining pipelines using Spark / PySpark</li><li>
Experience working with Kafka or other streaming platforms</li><li>
Strong SQL skills and experience with data transformation</li><li>
Experience with data orchestration tools such as Apache Airflow</li><li>
Familiarity with AWS‑based data environments</li><li>
Strong troubleshooting and debugging skills for data pipelines</li><li>
Curiosity, adaptability, and comfort working in evolving technical environments</li><li><div>
AI‑enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve.</div></li></ul><div></div><div>
WHY THIS ROLE IS UNIQUE</div><ul><li>
We act with intensity, urgency, and a passion for supporting our customers and growing our business</li><li>
We hold ourselves accountable and approach challenges with a positive, &ldquo;can‑do&rdquo; mindset</li><li>
We deliver as one team, working with integrity, trust, transparency, and respect</li><li>
We believe diversity, authenticity, and curiosity make us better and fuel innovation</li><li>
We continuously ask: Is there a better way?</li></ul><div></div><div>
WHAT WE OFFER</div><ul><li>
Hybrid work model (Atlanta‑based)</li><li>
Comprehensive benefits: medical, dental, vision, company‑paid Basic Life &amp; AD&amp;D</li><li>
401(k) Retirement Plan</li><li>
Flexible Paid Time Off</li><li>
Career Development opportunities</li><li>
Employee Purchase Program</li></ul><div></div><div>
Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.</div></div>

Data Engineer - (Purchasing Power) | Hybrid - Atlanta, GA)

Explore 203+ Manager decision analytics enterprise data products in Atlanta United States this April. Find roles across top companies and apply now to boost your career.