Contract consulting opportunity for a Sr Data Analyst to make a significant impact on a high-profile enterprise modernization initiative. You'll work alongside cross-functional teams, leverage modern cloud technologies, and play a key role in ensuring data quality and successful migration to a next-generation Finance data platform.
Client requirements:

• Work authorization: US Citizen or GC holder
• W2 hourly only: No C2C/Indep.

• Validate and reconcile data between legacy and modern Finance platforms during parallel operations.
• Develop complex SQL queries and datasets to identify data variances and ensure data integrity.
• Build dashboards and reports that highlight data quality, reconciliation results, and variance trends.
• Partner with Product Managers, Engineers, Finance, and Business teams to investigate data discrepancies, determine root causes, and document business-approved resolutions.
• Create reconciliation reports, exception reports, validation summaries, and business sign-off documentation.
• Analyze data mappings, transformation logic, data lineage, and business rules to ensure accurate migration.
• Support Go-Live readiness by helping define acceptable data variance thresholds and providing actionable insights to stakeholders.
• Participate in Agile ceremonies, backlog refinement, and cross-functional collaboration.

• 5+ years of experience in a Data Analyst or similar analytics role.
• Advanced hands-on SQL experience with large-scale data platforms such as Google BigQuery, Hadoop, or similar technologies.
• Experience building and maintaining ETL/data pipelines using tools such as Dataproc, Airflow, Dataform, dbt, or comparable technologies.
• Strong Python and/or PySpark experience for data movement, transformation, and analysis.
• Experience with reporting and visualization tools including Power BI, Looker, and LookML.
• Strong expertise in:
  • Data validation and reconciliation
  • Source-to-target data mapping
  • Data quality analysis
  • Duplicate and exception detection
  • Audit/control total validation
  • Business rule validation
• Ability to interpret mapping documents, transformation logic, reporting requirements, and data lineage.
• Excellent communication skills with experience collaborating across Engineering, Product, Finance, and Business teams.
• 1–3 years working within Agile delivery teams.

• Experience supporting enterprise retail organizations.
• Knowledge of finance, merchandising, inventory, supply chain, sales, digital, or customer data domains.
• Experience with Google Cloud Platform (GCP) and Medallion Data Architecture.
• Familiarity with SAP S/4HANA finance data structures and reporting.
• Experience supporting enterprise data modernization or cloud migration initiatives.