Product Analyst – Application Lifecycle (Argentina)
Summary
Analyzes loan application data to guide product decisions, using SQL and BI tools to track user behavior and conversion in Argentina for a U.S.-based fintech company.
PLEASE SUBMIT CVs in ENGLISH ONLY!
Key Responsibilities:
- Product Analytics:
- 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
AppLife Analytics:
Key Requirements:
- 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)
Originally posted on Himalayas