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Remote posting, popular mid-level analytics title, mid experience band, and broad required skills increase applicant competition.
Core analytics skills (SQL, Python, experimentation, visualization) transfer easily across industries.
Explicit 3-4 years requirement plus mandatory SQL, experimentation, and Python technical tests raise filtering strictness.
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Drive growth and success of payment products by developing strategies for user acquisition, retention, and engagement.
Own end-to-end analytics related to Marketing and Growth Product including data gathering, experimentation, and post-launch impact analysis.
Collaborate closely with cross-functional teams (product, business, development, data engineering) to translate business questions into actionable insights and maintain visualization tools and dashboards.
3-4 years of professional experience in quantitative analysis roles at top companies (consulting, investment banking, or tech with programming).
Excellent SQL skills, demonstrated during hiring process.
Experience designing and analyzing digital product experiments (A/B testing, multivariate testing).
Proficiency with statistical programming (Python) and visualization tools like Tableau and Looker.
Experienced in managing analytics for digital product growth cycles and marketing performance.
Strong ability to act as a strategic link between technology, business, and product stakeholders.
Comfortable applying advanced statistical and mathematical modeling to solve product and business problems.