Lead complex analyses that identify root causes of business issues and quantify financial or operational impact
Translate ambiguous business questions into structured analytical approaches and defined outputs
Design, build, and maintain dashboards, recurring reporting, and data models that support cross-functional decision-making
Evaluate short-term performance trends while identifying longer-term implications of business decisions
Recommend improvements to reporting processes, data quality, and analytical workflows within the team
Partner with stakeholders across departments (e.g., Operations, Finance, Product, Risk, Marketing) to define KPIs and success metrics
Challenge assumptions constructively and propose alternative hypotheses when reviewing business performance
Present findings clearly to technical and non-technical audiences, driving alignment and consensus
Independently manage multiple priorities with minimal day-to-day oversight
Contribute to analytics best practices, documentation standards, and scalable solution design
Contribute to exploring the future of Analytics by vetting, testing, and implementing Agentic BI Tools (AI Analytics)
Stay informed on industry trends, competitive benchmarks, and emerging analytical tools that may create advantage
Ensure data integrity by validating inputs, testing outputs, and documenting logic and assumptions
Support leadership with ad hoc analysis that informs tactical decisions and resource allocation

Bachelor’s degree with 5+ years of relevant experience, OR Master’s degree with 3+ years of experience, OR PhD without experience
Demonstrated competency in SQL is required and proficiency in at least one analytics/programming language (e.g., Python, R)
Must be a power-user in Excel (vlookup, xlookup, pivot tables, charts, etc.)
Strong experience with BI tools (e.g., Tableau, Power BI, Looker) and data visualization best practices
Proven ability to break down complex problems into structured components and deliver actionable solutions
Strong judgment in selecting appropriate analytical methods based on context and data constraints
Experience working across teams and influencing without formal authority
Clear and confident communicator who can tailor insights to different audiences
Solid understanding of business drivers and how analytics supports revenue, cost control, risk management, or customer experience
Ability to anticipate downstream impacts of decisions and surface trade-offs
Comfortable operating with general direction on new initiatives and little supervision on day-to-day execution
Demonstrated history of recommending and implementing process improvements
Strong attention to detail with a disciplined approach to documentation and validation

Data Analyst III

Key skills