Data Analyst III

Snap Finance•West Valley City, UT

23h

About The Position

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.

Requirements

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.

Responsibilities

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.