About Truv
Truv is transforming the financial data industry with a secure and real-time API platform for payroll account access. Our technology streamlines income and employment verification, direct deposit switching, and more—eliminating outdated processes and unlocking greater financial opportunities. Backed by $30M from top investors like Kleiner Perkins and NYCA, we’re disrupting a $2B legacy market with cutting-edge innovation and a customer-first approach. Our leadership team brings expertise from industry giants like Apple, Carta, Venmo, MX, and Okta, driving the future of financial data access.
What You’ll Do
- Analyze complex data sets and create clear, insightful reports for key stakeholders.
- Collaborate with teams across Truv to understand their data needs and provide solutions that drive business success.
- Design, develop, and maintain dashboards that give us real-time insights into our performance and help us make informed decisions.
- Identify trends, patterns, and areas for improvement in our data and provide recommendations for action.
- Create, maintain, and support ETL pipelines for Clickhouse Cloud.
Who You Are
- Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics) or equivalent experience.
- Proven experience (5+ years) in product analytics, data analytics, and data engineering.
- Strong skills in SQL, Excel, Python and data visualization tools (e.g., Tableau, Metabase).
- Experience with Airflow or other ETL tools.
- The ability to translate complex data into actionable insights and tell compelling stories with data.
- Excellent communication and teamwork skills to collaborate effectively with various departments.
Benefits
- Fully remote
- Competitive salary and equity package
- Flexible time off
- Work with cutting-edge technology and innovative customers
- Opportunity to shape the future of financial data access
We are an equal opportunity employer committed to diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
