Description:

Varo’s Banking Analytics team is responsible for providing advanced quantitative analysis and actionable insights on customers and products in consumer banking and payments.
The team focuses on optimizing customer onboarding and enhancing customer engagement through meaningful data insights across the customer lifecycle.
As a Sr. Data Analyst, you will collaborate with colleagues in product, marketing, engineering, finance, and operations to analyze data from various business areas to improve products and experiences.
The role requires conducting data analysis using advanced analytical and statistical approaches to make impactful business recommendations.
You will develop a deep understanding of banking and commercial data, sharing insights on key metrics that drive the company.
The position involves analyzing unit economics, understanding profitability drivers, and conducting analyses in areas such as commercial analytics, product feature analysis, forecasting, and experimentation.
You will leverage forecasting and financial modeling to predict trends in transactional volume and other key financial KPIs.
The role includes working with Finance, Product, and other teams to produce analyses for critical initiatives and new business opportunities, effectively communicating findings to stakeholders.
You will create and automate reports, build and prototype dashboards to provide insights at scale, addressing business priorities.

Requirements:

A minimum of 4 years of experience in an analytical role, providing business analysis, developing dashboards, and presenting results to leadership is required.
Expertise in SQL for at least 4 years is mandatory, along with proficiency in Tableau or other BI tools; experience with R/Python is a significant plus.
Experience in partnering with business units, articulating business questions, and using SQL/Python to extract data from datasets is essential.
A background in experimentation, product analytics, measuring ROI of initiatives, and automating dashboards and reports to track business performance is required.
Experience with financial modeling in banking or fintech is a plus, along with a proven track record of successfully communicating data-driven insights.
A solid understanding of statistical analysis is necessary.
Exceptional problem-solving skills and business judgment are required.
The ability to work independently, get things done, and maintain a high bias for action is essential.

The salary range for this position is between $140,000 and $170,000 per year, based on function, level, and geographic location.
Final offer amounts will be determined by multiple factors, including candidate experience and expertise, and may vary from the identified range.