Data Analyst
Plano, Texas, USAll locationsPlano, Texas, USRemote - United States Remote
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About the role
You will own the analytics function for Tapcheck's Customer Support organization. Your job is to make sure Support leadership always has a clear, credible picture of how the team is performing and what the data says they should do about it. That means maintaining the standards for what gets measured, keeping the dashboards and frameworks that surface those metrics accurate, and producing the analyses that drive real decisions on strategy, investment, and priorities. The right candidate is comfortable working with ambiguity, can scope their own problems, and knows the difference between producing a report and driving a decision. This role offers both a remote and hybrid option. Employees located within 30 miles of Plano TX, are required to be in-office Tuesday through Thursday each week. If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID, IL, LA, MI, MA, MO, NC, NH, NJ, NV, NY, PA, OR, OH, RI, SC, TX, UT, VA, WA, WI.
What you'll bring
- 2 to 4 years in a data analyst or business intelligence role where you owned metrics end-to-end: definition, calculation, documentation, and storytelling.
- SQL proficiency including CTEs, window functions, and query optimization
- you can get to an answer without waiting on someone else to pull data for you.
- Hands-on experience building and managing dashboards in a modern BI tool (Looker, Tableau, Power BI, or similar).
- Demonstrated ability to communicate complex findings to non-technical audiences
- leadership should leave your presentations knowing what to do, not just what happened.
- Comfortable scoping your own work: you can take an ambiguous business question, decide on methodology, and drive a recommendation without close direction.
- Experience in fintech, SaaS, or customer support operations environments.
- Familiarity with Snowflake or similar cloud data warehouses.
- Exposure to support platforms such as Zendesk and their underlying data structures.
- Experience with dbt or similar data transformation frameworks.