We’re seeking a Data Management Analyst to support data validation, reconciliation, and reporting for a finance application modernization and data platform migration initiative. This role offers the opportunity to work across legacy and modern data environments, helping identify variances, document root causes, and support go-live decisions through clear analysis and collaboration.

Responsibilities

• Develop and run queries to compare legacy and modern datasets and identify data variances
• Support source-to-target validation, reconciliation, and control total checks across large data platforms
• Analyze data issues, investigate root causes, and document findings clearly for business and technical teams
• Create validation summaries, exception reports, defect logs, and sign-off documentation
• Build reports and dashboards to highlight variance trends and support stakeholder decision-making
• Work closely with product, engineering, finance, business, and legacy system teams to resolve data issues
• Review mapping documents, business rules, transformation logic, and data lineage to validate requirements
• Help define tolerance thresholds and support go-live readiness for parallel operations

Skills

• 5+ years of hands-on SQL experience with large-scale data platforms such as BigQuery, Hadoop, or similar environments
• 3+ years of experience with ETL or data pipeline tools such as Airflow, dbt, Informatica, or similar tools
• Experience with Python or PySpark for data analysis and data processing
• Strong background in data validation, reconciliation, duplicate detection, and audit/control total checks
• Ability to interpret business requirements, mapping documents, and transformation logic
• Experience producing reconciliation reports, defect documentation, and variance summaries
• Clear communication skills with the ability to collaborate across technical and business teams
• Experience working in agile delivery environments

Preferred Skills

• Experience with data visualization and reporting tools such as Power BI, Looker, or LookML
• Background in retail or enterprise data environments, especially finance, supply chain, merchandising, inventory, stores, sales, digital, product, or customer domains
• Familiarity with Google Cloud data platforms, including data lake or lakehouse environments
• Exposure to SAP S/4 data structures and finance reporting
• Experience supporting KPI reconciliation, semantic layer validation, and dashboard development
• Comfort working through sprint planning, defect triage, acceptance criteria, and iterative delivery
• Strong problem-solving skills and a proactive, independent approach

Horizontal is committed to fostering a diverse, equitable, and inclusive workplace where everyone feels valued, respected, and supported. We welcome candidates from all backgrounds and encourage you to apply if you’re excited about the role and believe your experience can make an impact.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.

Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $41 - $78 per hour based on qualifications and experience.