Data Analyst

Senior Data Analyst / Associate Data Architect I

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.

• Perform data validation and vetting for FP&A/Planning use cases, including validating upstream datasets feeding Oracle planning modules (BPM/EDM/EBPCS).
• Identify mismatches, quality gaps, reconciliation issues, and root causes across finance data.
• Conduct data analysis to ensure accuracy and consistency across domains, such as comparing finance outputs across systems to prevent multiple answers to key metrics.
• Build and execute data quality checks and validation routines covering completeness, accuracy, timeliness, and business rule conformance.
• Work closely with the Data Architect to support RDMP platform build by providing insights on source data issues, domain definitions, and lineage/quality requirements.
• Collaborate with FP&A partners and domain stakeholders to translate business expectations into validation rules and test cases, ensuring the data delivered aligns with real business outcomes.
• Investigate upstream issues and coordinate with data engineering teams to resolve defects quickly.
• Maintain documentation on data definitions, validation steps, findings, and remediation status.

• 7–10+ years of experience as a Data Analyst / Senior Data Analyst in enterprise data environments.
• Strong experience with data analysis and validation using SQL, Snowflake, Databricks, and the Azure ecosystem.
• Familiarity with Oracle planning modules (BPM / EDM / EBPCS) and finance planning data flows.
• Expertise in data profiling, reconciliation across multiple sources, and building data quality checks.
• Strong critical thinking, stakeholder communication, and ability to independently investigate issues.
• Preferred: finance domain experience (FP&A, Accounting, Revenue, Tax, Treasury) or similar data-intensive domains.
• Experience supporting data for forecasting, modeling, or ML initiatives.
• Familiarity with data lineage, observability, and governance practices.
• Key skills: data accuracy-first mindset, ownership and urgency, bias for action, stakeholder communication, strong attention to detail.

Estimated salary range: $106,000–$159,000. Compensation is based on location, role, skill set, education, and experience.

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, 6 days of paid sick leave, 10 paid holidays, and eligibility for paid bereavement leave and jury duty. Employees may participate in the company’s 401(k) retirement plan with employer matching and receive medical, dental, and vision insurance. Additional benefits include basic life insurance, accidental death and disability insurance, short- and long-term disability benefits, Health Savings Account (HSA), and Flexible Spending Account (FSA).

Part-time and temporary employees receive proportional paid sick leave and eligibility for the 401(k) plan. Benefits offerings may vary in Puerto Rico.

UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. UST considers qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances.