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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** UST Inc - **Location:** Frisco, TX, United States - **Experience:** Expert - **Salary:** $106,000.0 - $159,000.0 - **Contract:** Temporary contract - **Skills:** Data Analysis, Microsoft Azure, Data as a Services, Data Architecture, Data Validation, Information Engineering, Data Profiling, Oracle (Applications), Data Streaming, Enterprise Data Management, Snowflake, Data Lineage, Databricks - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9a1db0e90be29579 ## About the Role * 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. ## 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 opportunity: * Perform data validation and vetting for FP&A/Planning use cases: o Validate upstream datasets feeding Oracle planning modules (BPM/EDM/EBPCS) o Identify mismatches, quality gaps, reconciliation issues, and root causes * Conduct data analysis to ensure accuracy and consistency across domains: o Compare finance outputs across systems to prevent multiple answers to key metrics (e.g., revenue) * Build and execute data quality checks and validation routines: o Completeness, accuracy, timeliness, and business rule conformance * Work closely with the Data Architect to support RDMP platform build: o Provide insights on source data issues and domain definitions o Support lineage/quality requirements and documentation * Collaborate with FP&A partners and domain stakeholders: o Translate business expectations into validation rules and test cases o 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. This position description identifies the responsibilities and tasks typically associated with the performance of the position. 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