We’re seeking a seasoned Data Analyst who doesn’t just report numbers, they uncover what the business needs to know and ensure insights translate into action. This role is built for a professional who fully understands their analytical discipline, exercises strong judgment in ambiguous situations, and influences decisions across teams.

You will own complex analyses end-to-end, identify short-term business issues before they become costly problems, and begin shaping longer-term thinking through structured insight. You’ll regularly collaborate outside your immediate team, challenge assumptions, and help partners see the story behind the data.

This is a high-accountability individual contributor role with meaningful impact on cost, speed, and quality of business decisions.

How you'll make an impact:

• 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.

What you'll need to succeed:

• 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.