Senior Data Analyst
Job Summary
To support Finance's transition to reusable data products, the full-time Senior Data Analyst will build and maintain data models, automate analytical workflows using SQL and Python, and enable self-service analytics for FP&A in a remote environment.
Key responsibilities
- Build and enhance Finance data products, including tables, views, and analytical models within established standards
- Translate FP&A needs into clear data requirements and validate data quality while partnering with Shared Data Services teams
- Deliver advanced analytics and self-service tools using SQL, Python, and Power BI to support complex business questions
Required qualifications
- Bachelor's degree in a technical, quantitative, analytical, Finance, or business discipline, or equivalent relevant experience
- Five or more years of relevant experience in data analytics, analytics engineering, or business intelligence
- Advanced SQL and strong dimensional and analytical data-modeling skills
- Proficiency in Python for data processing and automation
- Experience developing or supporting ETL/ELT pipelines and data reconciliation
Complete Job Description
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