Description

You own data accuracy, completeness, and readiness for the finance transformation initiative, specifically supporting the FP&A and Planning (BPM) workstream.

This role is hybrid.

Responsibilities

• Validate upstream datasets feeding Oracle planning modules (BPM/EDM/EBPCS) to ensure data quality and consistency.
• Perform data analysis to identify mismatches, quality gaps, and root causes across finance outputs and multiple systems.
• Build and execute data quality checks for completeness, accuracy, timeliness, and business rule conformance.
• Partner with the Data Architect to support the RDMP platform, providing insights on source data issues and domain definitions.
• Translate business expectations into validation rules and test cases, documenting data definitions and remediation status.

Required Skills

• 5+ years of experience as a Data Analyst or Senior Data Analyst in enterprise environments.
• Strong proficiency in SQL and analytical techniques for data profiling and reconciliation.
• Hands-on exposure to Snowflake and Databricks ecosystems.
• Understanding of the Azure ecosystem and data services.
• Familiarity with Oracle planning modules (BPM, EDM, EBPCS) and finance planning data flows.
• Ability to challenge assumptions and investigate upstream issues independently.

Preferred Skills

• Experience in finance domains such as FP&A, Accounting, Revenue, Tax, or Treasury.
• Familiarity with data lineage, observability, and governance practices.

Key Skills

Education

Bachelor's degree