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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level generalist data-product role, metro context, and broad skillset increase competitive applicant density.
Product and analytics skills transfer across industries but require product-domain experience for full fit.
Explicit 1–5 years plus mandatory SQL, Python, BI, and A/B testing skills raise strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own strategy, vision, prioritization, and execution of data analytics products across web and mobile platforms.
Define and track core business and product metrics including conversion, engagement, retention, and monetization funnels through A/B testing and experimentation.
Present actionable insights and strategic recommendations to executive leadership and external clients while collaborating cross-functionally with Engineering, Data Science, Sales, Marketing, and Customer Success.
Minimum Requirements
Bachelor’s degree in Economics, Engineering, Computer Science, Mathematics, Statistics, Physics, or other quantitative disciplines.
1–5 years of experience in Product Management, Software Development, Growth Product Management, Data Analytics, or related areas; exceptional fresh graduates with strong quantitative skills considered.
Strong proficiency with SQL and Python for data analysis.
Experience designing and executing A/B tests and strong understanding of statistics applied to product and growth analytics.
Ideal Candidate Profile
Experienced in using data-driven insights to shape product and growth decisions with a strong business orientation towards improving critical KPIs.
Comfortable working in cross-functional teams and communicating effectively with senior leadership and external stakeholders.
Proficient in synthesizing diverse quantitative and qualitative data and leveraging AI tools in analytical workflows.