Senior Finance Data Analyst - FP&A & BPM Validation

Role: Senior Data Analyst – Finance / Planning (BPM) Location: Dallas, TX or Bellevue, WA Contract Must have Skills – Data Analyst, FP&A/ BPM Skill 1 – 7Yrs of Exp – Data Analysis, FP&A, BPM, Quality and Validation Skill 2 – 7Yrs of Exp – SQL, Databricks, Oracle Skill 3 – 5Yrs of Exp in Finance Domain Job Description:We are seeking a Senior Data Analyst to support a critical finance transformation initiative by ensuring data accuracy, completeness, and readiness—especially for the FP&A / Planning (BPM) workstream. The organization is implementing planning modules (Oracle BPM / EDM / EBPCS) and will feed data from upstream platforms such as Snowflake / Databricks into these systems. This role will focus on vetting and validating upstream and downstream data, performing analysis to ensure correctness, and partnering closely with the Data Architect to support the RDMP platform goals. This role requires someone senior who can ask the right questions, challenge assumptions, investigate upstream issues, and ensure data truly solves the business problem (single source of truth for finance). Key ResponsibilitiesPerform data validation and vetting for FP&A/Planning use cases: Validate upstream datasets feeding Oracle planning modules (BPM/EDM/EBPCS) Identify mismatches, quality gaps, reconciliation issues, and root causes Conduct data analysis to ensure accuracy and consistency across domains: Compare finance outputs across systems to prevent multiple answers to key metrics (e.g., revenue) Build and execute data quality checks and validation routines: Completeness, accuracy, timeliness, and business rule conformance Work closely with the Data Architect to support RDMP platform build: Provide insights on source data issues and domain definitions Support lineage/quality requirements and documentation Collaborate with FP&A partners and domain stakeholders: Translate business expectations into validation rules and test cases Ensure the data being delivered aligns to real business outcomes Investigate upstream issues and coordinate with data engineering teams to fix defects quickly. Maintain documentation on data definitions, validation steps, findings, and remediation status. Required Qualifications7–10+ years of experience as a Data Analyst / Senior Data Analyst in enterprise data environments. Strong experience in data analysis and validation using: SQL and analytical techniques Data profiling and reconciliation across multiple sources Strong hands-on exposure to: Snowflake Databricks Azure ecosystem (data services understanding) #J-18808-Ljbffr Tech Mirrors