tapcheck - Data Analyst
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Requirements
• 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. • Who this role is not for: • Someone who needs a fully built metric framework before they can start measuring anything. • Someone who wants to own automation, AI, or chatbot development; that work sits with a different team and will not move here. • Someone who treats every data request as equally urgent and needs a manager to triage their queue. • Someone whose default response to a business question is building a new dashboard rather than answering the question. • At RE time, Tapcheck does not provide sponsorship for employment-based visas (e.g., H-b, L-1, TN, etc.). Therefore, candidates must already possess the right to work in the United States without the need for employment-based visa sponsorship now or in the future.
Responsibilities
• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment. • Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way. • Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers. • Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution. • Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards. • Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting. • Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering. • Where your work starts and stops: • You own the business analytics layer: maintaining KPI standards, keeping dashboards accurate, and producing performance trend analysis. You hand off data pipeline engineering, schema changes, and infrastructure work to Data Engineering. • You identify where automation or AI tooling could reduce Support volume and quantify the potential impact. You hand off the design, build, and deployment of those tools to the Enablement team. • You surface VOC and customer experience signals that live in Support's data. You hand off VOC program management and external reputation response to the Reputation Manager function. • You produce the analysis behind staffing and investment recommendations. You do not make headcount decisions or approve spend; those decisions belong to Support leadership. • Who you'll work with: • Support Operations and Support leadership: your primary stakeholders for analysis requests, metric sign-off, and performance reviews. • Data Engineering: shared pipeline standards, Snowflake modeling, and Omni semantic layer alignment. • Product: translating Support trends into product signals and prioritization input. • Enablement: automation and AI decisions that reduce support contact volume, where your quantification informs their build decisions.
Benefits
• Mission that matters. We're changing how Americans access their pay — giving workers financial flexibility without the debt trap of payday loans. • Flexible PTO. No accrual caps, no counting days. Take the time you need. • 10 paid holidays. Including both Christmas Eve and New Year's Eve. • Comprehensive health coverage. Medical through Blue Cross Blue Shield of Texas (PPO and HDHP options, HSA-eligible with employer contribution), plus dental and vision through MetLife. • FSA, Basic Life/AD&D, and an Employee Assistance Program (EAP). • 401(k) with a 100% match up to 3% of your salary. Through Mutual of America. Eligible after 90 days. • A team that lives its values. Humility, grit, and a genuine drive to raise the bar — every day. • Compensation at Tapcheck is competitive and benchmarked to your role and the market. We're committed to a total rewards package that reflects your impact. Full details are shared as part of our hiring process. • Equal Employment Opportunity Policy
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