Conduct deep-dive exploratory analyses to understand user pain points, “ah-ah” moments, and product usage insights
Collaborate with product teams to build reusable or ad hoc data views, influencing strategy, design, and development
Design, develop, and maintain dashboards and reports using SQL (CTEs, window functions, etc.) or scripting languages, offering real-time visibility into product performance
Track and evaluate the success of product launches and A/B experiments; monitor system and product performance post-launch
Conduct quality checks on analytics events and recommend enhancements to amplify product performance
Participate actively in agile processes, from design through implementation and deployment
Ability to identify trends and conversion opportunities within the loan origination process
Partner with product managers and engineers to design data requirements to ensure proper success measurement of new features
Create anomaly detection that identifies shifts in behavior that could indicate a production issue
Dive deep into user behavior and find insights that informs product teams on how to influence different personas
Analyze verification flows and illuminate opportunities for automation working with product and ML/AI teams
Find ways to measure internal team performance within the underwriting, sales, and funding departments

5+ years of experience in data/product analysis
SQL expertise; comfortable with complex queries, including CTEs and window functions
Proficiency in BI tools like Sigma, Tableau, or Power BI; experience with DBT is a plus
Basic knowledge of Python and Git
Strong data experimentation and statistical analysis background
Expertise in product analytics tools like Heap, Amplitude, or Mixpanel
Excellent around cross-functional collaboration (Product, Engineering, Ops)
Strong problem-solving, critical thinking, and business acumen
Creative, proactive, organized, and growth-minded
Fluent in English (written and verbal)

Senior Product Analyst – Application Lifecycle

Key skills