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Data Management Analyst

Job in Frisco, Collin County, Texas, 75034, USA
Listing for: Keurig Dr Pepper
Full Time position
Listed on 2026-11-07
Job specializations:
  • IT/Tech
    Data Analyst, Information & Knowledge Management, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 76400 - 105000 USD Yearly USD 76400.00 105000.00 YEAR
Job Description & How to Apply Below
Job Overview:

Do you get excited about turning messy, complex data into something people can trust—and then seeing that work power analytics, AI, and better decisions? At Keurig Dr Pepper, this is an opportunity to do more than support a data strategy. You’ll help shape it and put it into practice.

Our Enterprise Data Management team is building KDP’s trusted, connected, AI-ready data foundation. As a Data Management Analyst, you’ll work hands-on across modern enterprise technologies—including Databricks and Unity Catalog, Snowflake and Horizon, and the Data Uncapped Marketplace powered by Alation—to help define how data is governed, understood, measured, and reused across the company. You’ll work with real enterprise data and real business problems, helping turn standards into scalable patterns that make high-quality data discoverable and ready for analytics, copilots, and AI agents.

This is a great opportunity for a curious data enthusiast who wants exposure across the full data lifecycle: profiling data, investigating anomalies, defining quality rules, tracing lineage, building trusted metadata, and helping teams turn raw information into governed data products. You won’t just inherit a finished playbook—you’ll contribute to the practices, tools, and standards that shape KDP’s evolving enterprise data strategy.

What You'll Do
  • Help put KDP’s enterprise data strategy into action by applying and improving standards for naming, classification, documentation, and Bronze/Silver/Gold data quality tiers
  • Work hands-on with Databricks, Unity Catalog, Snowflake Horizon, and Alation to connect business meaning, technical metadata, lineage, quality, and governance across the data ecosystem
  • Explore and profile complex enterprise datasets, write and version data quality rules, publish scorecards, and follow issues all the way to root cause and resolution
  • Help create trusted, reusable data products by making definitions, ownership, lineage, quality expectations, and business context clear and discoverable
  • Curate the governed context that powers AI agents, copilots, and natural-language analytics—including certified definitions, metrics, approved knowledge sources, and provenance
  • Analyze data across systems, including SAP, to uncover duplicates, conflicting definitions, and opportunities to strengthen master data and enterprise consistency
  • Classify and protect sensitive data, including PII, confidential, and SOX-relevant information, while maintaining audit-ready evidence
  • Complete governance activities for new data sources and products, including Technical Impact Assessment and Stage Gate materials
  • Collaborate with data engineers, architects, product teams, business owners, and a federated steward network to solve data problems and influence how KDP manages data at scale
  • Help measure the health of KDP’s data foundation through metadata completeness, glossary coverage, quality scores, stewardship, and policy compliance
Total Rewards
  • Salary Range: $76,400 - $105,000
  • Actual placement within the compensation range may vary depending on experience, skills, and other factors
  • Benefits, subject to election and eligibility:
    Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement
  • Annual bonus based on performance and eligibility
Requirements
What You Bring
  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, or equivalent experience;
    Master's degree in Information Systems, Computer Science, Data Analytics, Business preferred
  • Prior experience in data management, data governance, data quality, master data, or data analysis
  • Hands-on data quality experience: profiling, rule…
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