Full-Time Sr. Data Analyst
Varo Money is hiring a remote Full-Time Sr. Data Analyst. The career level for this job opening is Expert and is accepting USA based applicants remotely. Read complete job description before applying.
Varo Money
Job Title
Posted
Career Level
Career Level
Locations Accepted
Share
Job Details
The Banking Analytics team is lean, high-functioning, entrepreneurial, and impact-focused. We combine creative and critical thinking with detailed analysis and drive impact across the organization. If you are inquisitive and can incubate different angles for business/product opportunities, synthesize large amounts of data, connect the dots amidst ambiguity, and want to deliver clear and measurable impact from day one, the Varo team would love to meet you!
What you'll be doing
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
You'll bring the following required skills and experiences
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.