Match score not available

Sr. Data Analyst, Commercial Analytics

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

4+ years in analytical roles, Expert in SQL; proficiency in Tableau, Experience with R/Python is a plus, Ability to perform product analytics, Knowledge of financial modeling in fintech.

Key responsabilities:

Conduct advanced data analysis for recommendations
Develop insights on banking and commercial data
Analyze unit economics and drivers of profitability
Leverage forecasting for key financial trends
Automate reports and build prototype dashboards

Varo Bank Banking Scaleup https://www.varomoney.com/

501 - 1000 Employees

See more Varo Bank offers

Job description

Varo’s 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 Varo’s 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.

#MidSenior