Senior Data Analyst – Analytics and Automation

• Partner with FP&A leadership to understand and fundamentally improve reporting, analytical, and planning processes
• Reverse-engineer complex Excel workbooks and manual processes, including data sources, business logic, calculations, and user needs
• Design and build automated solutions using SQL, Python, ETL/data transformation, APIs, and modern AI tools
• Resolve data quality, mapping, reconciliation, and grain issues across large, imperfect, multi-system datasets
• Perform exploratory analysis to identify trends, anomalies, relationships, and underlying business drivers
• Design dashboards and reporting experiences around business decisions
• Build AI-assisted interactive HTML reporting tools that refresh efficiently without repeated AI calls
• Develop driver-based analysis, exception reporting, and monitoring approaches
• Explore and build AI-assisted and agentic workflows involving LLMs, data, tools, APIs, and reporting processes
• Partner with Data Analytics and Data Engineering teams on shared infrastructure, standards, data pipelines, and data marts
• Contribute leadership, mentor by example, and help establish analytical rigor
• Translate complex analytical findings into actionable insights for Finance leaders and business stakeholders
• Help build and shape the FP&A AI repository, including documentation, conventions, and reliable workflows for AI assistants
• Report directly to the FP&A Director and work closely with central Data Analytics and Data Engineering teams

• 5-10 years of relevant experience required
• Strong SQL skills, including joining tables, tracing grain, finding duplicates, and validating results in unfamiliar schemas
• Practical proficiency in Python for data transformation, analysis, and automation
• Strong ETL/ELT fluency, including defining data requirements, validating output, and partnering with Data Engineering
• End-to-end report and dashboard building experience using Power BI, Tableau, Looker, or standalone interactive HTML/web-based reports
• Demonstrated experience automating manual, recurring data or reporting workflows
• Comfort learning and adopting new AI-assisted tools and workflows
• Advanced Excel skills, including deconstructing sophisticated, undocumented legacy workbooks
• Ability to explore data and form and test hypotheses to determine why something happened
• Fluent English, spoken and written
• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related quantitative/technical field strongly preferred; equivalent experience acceptable
• Experience supporting Finance, FP&A, Strategy, Operations, or another analytically intensive business function preferred
• Familiarity with revenue, margin, profitability, forecasting, and variance analysis preferred
• Experience modernizing legacy Excel-based reporting or analytical processes preferred
• Experience working with data distributed across multiple systems preferred
• Experience working effectively in a fully remote, distributed team environment preferred
• Exposure to AI/agentic tooling or applying AI to business processes preferred
• Machine learning, statistical modeling, or formal data science experience welcome but not required

• Fully remote work arrangement
• Opportunity to work with a global organization and distributed teams
• Leadership and mentoring opportunities without formal management responsibility