Data Analyst

About the role

The Senior Data Analyst supports a critical finance transformation initiative by ensuring data accuracy, completeness, and readiness, particularly for the FP&A/Planning workstream.

Responsibilities

• Perform 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
• Ensure 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

Requirements

• 7–10+ 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)
• Familiarity with Oracle planning modules (BPM / EDM / EBPCS) and/or finance planning data flows
• Strong critical thinking and ability to ask probing questions across upstream/downstream systems

Preferred Qualifications

• Finance domain experience (FP&A, Accounting, Revenue, Tax, Treasury) or similar data-intensive domains
• Experience supporting data for forecasting / modeling / ML initiatives (data readiness and quality)
• Familiarity with data lineage, observability, and governance practices

Key Skills & Competencies

• Strong attention to detail; data accuracy-first mindset
• Ability to independently investigate issues and drive closure
• Strong ownership and urgency—bias for action
• Strong stakeholder communication; can bridge business + technical teams

Benefits

• Paid vacation, sick leave, holidays, and bereavement leave
• 401(k) Retirement Plan with employer matching
• Medical, dental, and vision insurance
• Short- and long-term disability benefits
• Health Savings Account (HSA) and Flexible Spending Account (FSA)