Senior Data Analyst - Commercial Analytics

September 11

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Varo Bank

WebsiteLinkedInAll Job Openings

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

501 - 1000 employees

Founded 2015

🏦 Banking

💸 Finance

💳 Fintech

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 banking and commercial data and share insights around the key metrics that drive the company. • Deep dive into unit economics of the business and understand drivers of profitability, with the ability to zoom in or out as needed. Analysis areas might include (but not limited to): commercial analytics, product feature analysis, forecasting, and experimentation. • Leverage forecasting and financial modeling to predict trends in transactional volume and other key financial KPIs. • Work with Finance, Product, and other teams to produce analysis for critical initiatives as well as new business or product opportunities. Effectively communicate key findings and recommendations to multiple levels of stakeholders. • Create & automate reports, iteratively build & prototype dashboards to provide insights at scale, solving for business priorities.

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 partnering with business units, articulating business questions, scripting with SQL/Python to pull data from datasets, and using quantitative techniques to solve complex problems. • Experience with experimentation, product analytics, measuring ROI of initiatives, and automating dashboards and reports to track business performance. • Experience with financial modeling in banking/fintech is a big plus. 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.