Executive Data Analyst
About The Position
The Executive Data Analyst serves as the analytical lead for the entire organization and acts as the principal strategic partner for senior leadership. This role owns enterprise-level insights, drives KPI alignment, and oversees the analytical output and quality of the Data Analyst team. The position requires deep understanding of the business—operationally, financially, and strategically—and the ability to translate complex data into clear, high-impact recommendations. This role is not just a report builder. The Executive Data Analyst is a thought partner to leadership, an expert in enterprise modeling, and a force multiplier for all business units. They proactively identify opportunities, uncover risks (including fraud signals and operational anomalies), and automate workflows to eliminate redundant tasks. This individual plays a central role in shaping data standards, measurement frameworks, and analytical processes that drive ROI, scalability, and organizational alignment.
Requirements
- Can pass a drug test and criminal background check.
- Are legally eligible to work in the United States.
- Expert-level SQL and Power BI, with a proven track record of driving high-impact analytical outcomes.
- Deep understanding of dimensional modeling, semantic layers, and enterprise data structures.
- Strong ability to audit, reconcile, and validate data for accuracy and consistency across systems.
- Exceptional communication and executive storytelling abilities; able to present complex concepts simply.
- Experience leading or mentoring analysts and working cross-functionally with senior stakeholders.
- Strong business acumen across operations, finance, marketing, and customer lifecycle dynamics.
- Expert in high-level modeling: LTV, churn, pricing elasticity, capacity forecasting, margin analysis, etc.
- Proactive thinker with a bias toward ideation, continuous improvement, and business impact.
Nice To Haves
- Experience with additional languages (Python, R, JSON handling) is a plus.
Responsibilities
- Lead, mentor, and provide analytical oversight for the Data Analyst team across all business units.
- Serve as the primary analytics partner to senior leadership with enterprise dashboards, strategic insights, forecasts, and scenario modeling.
- Own and enhance enterprise-level models: LTV, churn, pricing, demand forecasting, margin, and membership trend analytics.
- Ensure KPI and metric consistency through alignment with the Data Architect and Director of Data Governance.
- Drive cross-functional alignment by owning the enterprise KPI framework and business glossary from the analytical perspective.
- Proactively uncover risks and opportunities, including fraud detection signals, anomalous operational patterns, and membership behavior trends.
- Build sophisticated automated workflows to reduce manual processes across finance, operations, marketing, and field teams.
- Perform high-level exploratory analysis on customer behavior, operational efficiency, membership growth, and strategic initiatives.
- Collaborate with engineering, BI, and governance teams to ensure data models support scalable reporting and accurate enterprise analytics.
- Translate complex data into clear, concise recommendations for executives and the board.
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What This Job Offers
Job Type
Full-time
Career Level
Executive
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
