Truv
Truv unlocks the power of consumer-permissioned data to empower organizations to make confident decisions. With the safest and most reliable API connections to payroll accounts, it enables income, employment, and insurance verification for lenders while consumers benefit from quicker approvals and a better overall experience. As a one-stop solution powering income, employment, and insurance verification for the US workforce, it integrates with 50+ payroll providers and 9,200 directly with employers (10X industry average), including 120M working Americans, 96% of Fortune 1000 companies, 95% of the Federal Government, and 83% of the largest US private organizations.
51 - 200 employees
Product Analyst
Job not on LinkedIn
September 3
Truv
Truv unlocks the power of consumer-permissioned data to empower organizations to make confident decisions. With the safest and most reliable API connections to payroll accounts, it enables income, employment, and insurance verification for lenders while consumers benefit from quicker approvals and a better overall experience. As a one-stop solution powering income, employment, and insurance verification for the US workforce, it integrates with 50+ payroll providers and 9,200 directly with employers (10X industry average), including 120M working Americans, 96% of Fortune 1000 companies, 95% of the Federal Government, and 83% of the largest US private organizations.
51 - 200 employees
đź“‹ Description
• 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.
🎯 Requirements
• 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
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