





Junior-mid product analytics role in metro with common skillset attracts many qualified applicants.
Core experimentation, SQL, and analytics skills transfer easily across industries.
Explicit 1-3 years, mandatory SQL and experimentation skills create stringent screening filters.
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Own the design, execution, and interpretation of A/B and multivariate tests to drive product decisions across business verticals.
Define and monitor key performance metrics to assess product success and provide actionable insights to product and engineering teams.
Collaborate closely with business leaders and data science teams to implement advanced experimentation methods and support scalable improvements in ML solutions.
1-3 years of work experience in analytics with at least 1 year in developing statistical solutions like A/B testing and experimental design.
Strong SQL coding skills are mandatory.
Experience in complex statistical analyses and communication of results to stakeholders is required.
Work Experience Required: 1-3 years in analytics with statistical testing experience.
Experienced in product analytics within Mobile and/or Web product environments, especially with experimentation and data-driven decision-making.
Comfortable working cross-functionally with product managers, data scientists, and engineers to influence product direction.
Proficient in using or adopting advanced analytics tools and statistical programming languages such as Python or R (preferred but not mandatory).