Qualifications- 4+ years of experience working with product analytics, web analytics, customer care analytics, or other customer experience analytics
- Advanced proficiency in SQL, “big data” technologies (e.g., Redshift, Spark,
Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash). Qlik certification is a big plus
- Deep expertise in experimentation design (A/B/n, bandits, painted-door) and causal inference (Propensity Score, DiD, Synthetic Control) with a strategic understanding of their application
- Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior
- Strong business acumen and the ability to translate business strategy into testable hypotheses and learning agendas
- Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence leadership
- Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams.
- Comfortable working in a fast-paced environment and have flexibility to shift priorities when needed
- Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred
Preferred:
- Strong programming skills in Python or R; experience building ML and GenAI models, including automation and custom implementations
- Experience solving growth-related problems at financial technology companies serving consumer or SMBs
- Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)
- Familiarity with version control software (git), and general software development