Senior Data Analyst, Payments

September 11

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Varo Bank

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Mobile Banking • User Interface • Financial Services • Risk Management • Design Research

501 - 1000

Description

• Conduct data analysis, using advanced analytical and statistical approaches, to make business recommendations. Be impact focused and demonstrate high bias to action. • Develop a deep understanding of how customers use our banking products and share insights around the key metrics that drive the company. • Understand our payments data at a transaction level and identify levers to improve transaction processing while balancing customer benefit vs risk. • Conduct data analysis to make business recommendations. Analysis areas might include (but not limited to): transactional analysis, customer spend behaviors, root cause analysis. • Create & automate reports, iteratively build & prototype dashboards to provide insights at scale, solving for business priorities. • Work with the Banking and Payments product and engineering teams to provide analytical support for critical initiatives as well as new business or product opportunities. Effectively communicate key findings and recommendations to multiple levels of stakeholders.

Requirements

• 4+ years of experience in an analytical role providing business analysis, developing dashboards, and presenting results to leadership. • Expert in SQL (4+ years). Proficiency in Tableau (or other BI tools) and day-to-day use of R/Python is a big plus. • Experience articulating business questions, scripting with SQL/Python to pull data from datasets, and adapt quantitative techniques to solve complex problems. • Experience with banking and/or payments processing, experimentation, consumer product analytics, measuring ROI of initiatives, and automating dashboards and reports to track business performance. • Track record of successfully communicating data-driven insights. • Solid understanding of statistical analysis. • Exceptional problem-solving skills and business judgment. • Ability to get things done and work independently and a high bias for action.