Senior Data Analyst

Drives analytical work across assigned business domains by independently collecting, analyzing, and translating complex data into actionable insights that support strategic and operational decisions. Owns reporting frameworks, stakeholder relationships, and data quality standards within scope — operating with greater autonomy and handling high analytical complexity, while actively contributing to the improvement of team practices and data workflows.

Key Responsibilities:

Data Collection & Preparation

• Independently owns the collection, integration, and preparation of data from multiple sources with minimal guidance
• Manages and improves existing data pipelines and ETL processes
• Identifies structural data issues that require upstream resolution
• Exercises judgment on data preparation approaches rather than following predefined methods

• Drives complex and ambiguous analytical problems across assigned business domains — from problem framing through to insight delivery
• Handles ad-hoc and recurring analysis requests with a high degree of independence
• Translates ambiguous business questions into structured analytical approaches
• Presents findings in a clear, actionable, and audience-appropriate manner

• Owns the development, maintenance, and continuous improvement of dashboards and automated reports using tools such as Holistic, Metabase
• Takes end-to-end responsibility for recurring performance reports (weekly/monthly/quarterly) to track KPIs and business metrics
• Defines metrics in collaboration with stakeholders and ensures outputs remain relevant, accurate, and decision-ready

• Champions data quality and integrity standards within assigned domains
• Maintains comprehensive documentation of data sources, definitions, processes, and assumptions
• Proactively flags systemic data quality issues with recommended remediation approaches rather than escalation alone
• Follows best practices for data security, privacy, and compliance

• Serves as a reliable analytical partner to assigned business units — understanding their data needs and independently driving analytical projects from brief to delivery
• Communicates findings effectively to both technical and non-technical audiences
• Contributes data-driven perspectives in cross-functional discussions without requiring senior facilitation

• Drives the growth of the broader data team by sharing analytical approaches and proposing improvements to team standards, workflows, and documentation practices
• Acts as a reference point for analytical best practices within the team

• Minimum 3–5 years of experience as a Data Analyst or similar role
• Proficient in SQL and at least one BI tool (Python, Metabase, Holistic, Tableau, Power BI, etc.)
• Able to work with multiple data sources (databases, APIs, spreadsheets) and manage ETL processes
• Experienced in handling end-to-end analytical projects independently with minimal guidance
• Strong communication skills — able to present findings to both technical and non-technical audiences
• Self-driven, detail-oriented, and comfortable managing multiple priorities simultaneously
• Python or R experience is a plus