Execute recurring and ad hoc data pulls across editorial and operational systems
Reconcile inconsistencies across sources; validate, document and socialize metric definitions, assumptions, and calculation logic.
Structure datasets to align with specific strategic questions
Improve the efficiency and repeatability of recurring reporting processes
Align data practices with enterprise governance standards, including Global Operations (GO) data and analytics teams
Translate leadership questions into measurable metrics and analytical plans; clearly articulate implications of findings, limitations and confidence levels (what’s proven vs. directional).
Conduct trend, variance, and performance driver analysis; identify where additional data or workflow instrumentation is needed to strengthen claims over time.
Develop executive-ready presentations and data visualizations for strategy discussions
Produce recurring performance reporting aligned to strategic priorities, including AI-assisted throughput and quality signals
Partner closely with the Head of GEO Strategy to prioritize analysis
Collaborate with Editorial Operations, Finance, Metrics, Tech, Product and Data Analytics teams to gather inputs
Requirements
2+ years of experience in analytics, operations analysis, business intelligence, or a related field
Advanced Excel skills and experience with SQL or comparable querying tools
Proficiency with BI visualization tools (Tableau, Power BI, or similar) and dashboarding best practices
Experience building executive-ready presentations and visual narratives in PowerPoint
Uses AI-assisted tools to accelerate analysis and drafting with rigorous QA and source traceability; comfort operating in an AI-enabled environment where processes evolve rapidly
Experience assessing or improving QA/measurement systems (including for AI-assisted workflows) using practical methods (sampling, rubrics, thresholds, error taxonomies)