Description

You own data validation, quality assurance, and lineage for FP&A planning modules.

This role is hybrid.

Responsibilities

• Validate upstream datasets for Oracle planning modules (BPM/EDM/EBPCS) to identify mismatches and quality gaps.
• Conduct data analysis to ensure accuracy and consistency across finance domains, preventing metric discrepancies.
• Build and execute data quality checks for completeness, accuracy, timeliness, and business rule conformance.
• Collaborate with the Data Architect to support the RDMP platform build, providing insights on source data issues.
• Maintain documentation on data definitions, validation steps, findings, and remediation status.

Required Skills

• 7–10+ years of experience as a Data Analyst or Senior Data Analyst in enterprise environments.
• Strong SQL skills and experience with data profiling and reconciliation across multiple sources.
• Hands-on exposure to Snowflake, Databricks, and the Azure ecosystem.
• Familiarity with Oracle planning modules (BPM/EDM/EBPCS) and finance planning data flows.
• Ability to translate business expectations into validation rules and test cases.
• Strong critical thinking and ability to investigate upstream issues and drive closure.

Preferred Skills

• Finance domain experience (FP&A, Accounting, Revenue, Tax, Treasury).
• Experience supporting data for forecasting, modeling, or ML initiatives.

Key Skills

Education

Bachelor's degree