Sr. Data Analyst, Commercial Analytics
Varos Banking Analytics team, using its financial expertise in consumer banking and payments, is responsible for providing advanced quantitative analysis and a strategic but also actionable perspective on our customers and products.
From optimizing the customer onboarding to uncovering drivers to further deepen customer engagement, the wider banking analytics team focuses on delivering meaningful insights from data across the customer lifecycle. As a pivotal member of this team, you will partner with colleagues across product, marketing, engineering, finance, and operations to understand and analyze data from all parts of Varos business to help improve our products and experiences backed by relevant insights.
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.
$140,000 - $170,000 a year
For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $140,000 - $170,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range
#MidSenior
Apply Now
From optimizing the customer onboarding to uncovering drivers to further deepen customer engagement, the wider banking analytics team focuses on delivering meaningful insights from data across the customer lifecycle. As a pivotal member of this team, you will partner with colleagues across product, marketing, engineering, finance, and operations to understand and analyze data from all parts of Varos business to help improve our products and experiences backed by relevant insights.
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.
$140,000 - $170,000 a year
For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $140,000 - $170,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range
#MidSenior
Apply Now