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Mid-level generalist role with metro location and broad technical requirements increases applicant competition.
Core analytics skills are transferable, but product-context and experimentation knowledge add moderate specialization.
Mandatory years plus expert SQL, Python, and BI requirements create strict shortlisting filters.
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Own end-to-end execution of data projects to provide actionable insights on user behavior and product performance.
Build and automate self-service dashboards tracking core growth metrics including acquisition, engagement, and retention.
Leverage AI and predictive analytics to forecast trends, automate workflows, and support product feature development.
Minimum 2 years of hands-on experience in product analytics, business analytics, or related role.
Bachelor’s or Master’s degree in Engineering, Statistics, Economics, Data Science, or related quantitative field.
Expert proficiency in SQL and strong command of Python for data extraction, analysis, and automation.
Advanced proficiency with data visualization tools (e.g., Tableau, Power BI, Looker) and experience with product analytics and CRM/CDP tools (e.g., Google Analytics, Amplitude).
Demonstrated capability in deploying AI/ML techniques for user behavior forecasting, segmentation, and anomaly detection.
Experience designing and analyzing A/B tests to inform product and business strategies.
Able to translate complex data analytics into clear recommendations for non-technical stakeholders and drive strategic decisions.