Senior Data Analyst

Overview We are seeking a Senior Data Analyst to play a critical role in strengthening the organization's analytics foundation through business intelligence and data analytics delivery, supported by data discovery and centralization. This role is accountable for producing high-quality, scalable analytics and dashboards that support decision-making, while also improving clarity and consistency across distributed data systems. The individual in this role serves as a trusted owner of analytical integrity, responsible for defining and maintaining metric logic, validating data availability and definitions, and ensuring analytics are built on clearly understood and well-documented data sources. Success requires technical depth, analytical rigor, and the ability to balance day-to-day analytics delivery with ongoing data discovery in a decentralized data environment. Responsibilities Business Intelligence and Data Analytics • Design, build, and maintain BI dashboards and analytical solutions that support operational, strategic, and ad hoc analytical needs. • Own metrics and KPIs end-to-end, including definition, calculation logic, validation, and ongoing consistency. • Translate business questions into analytical approaches, dashboards, reports, and supporting data structures. • Ensure analytics are accurate, well-documented, and aligned with agreed-upon metric definitions. • Provide ongoing analytical support to stakeholders, including investigations, deep dives, and clarification of results. Data Discovery, Centralization and Documentation • Lead data discovery efforts to determine whether required data exists, how it is defined, and where it resides. • Identify equivalent or related data elements across systems and document authoritative sources. • Support data centralization and consolidation by identifying overlaps, gaps, and inconsistencies across datasets. • Create and maintain documentation that supports repeatable analytics, metric consistency, and long-term scalability. Data Quality and Accuracy • Validate data used in dashboards and analyses to ensure accuracy and reliability. • Identify data limitations, definition gaps, or quality issues and clearly communicate their impact. • Promote consistent interpretation and responsible use of metrics across teams. Cross-Functional Partnership • Create BI dashboards and analytical outputs in close partnership with business, product, and technical teams. • Serve as a day-to-day analytics partner supporting decision-making through data and insights. • Communicate analytical findings, assumptions, and limitations clearly to both technical and nontechnical audiences. • Operate effectively in environments with evolving documentation and distributed data ownership. Required Qualifications • Advanced degree in Data Science, Statistics, Economics, Computer Science, or a related field. • 3+ years of experience in data analytics, business intelligence, or a related discipline. • Advanced SQL skills with experience querying complex, multi-schema, multi-source data environments. • Strong experience delivering BI dashboards, recurring analytics, and ad hoc analysis for business stakeholders. • Demonstrated experience operating in decentralized or federated data environments. • Experience contributing to data inventories, cataloging efforts, or metric standardization initiatives. • Hands-on experience with modern BI and visualization tools (for example, Power BI, Tableau, Looker, or equivalent). Preferred • Experience with data modeling, analytics engineering, or data science practices. • Exposure to statistical analysis or advanced analytical techniques. • Familiarity with formal data governance or data quality frameworks.