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Strong employer brand, metro location, and broad generalist product-analytics requirements increase candidate competition.
Product analytics skills transfer across industries but product-context and peer-insights domain require moderate domain fit.
Explicit 2-3 year requirement plus mandatory PowerBI/Python and program management raises screening rigor to medium.
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Own management of multiple Product Operations projects including requirement scoping, timeline tracking, and on-time delivery.
Analyze large data sets to generate insights on product metrics, trends, and health, and build/maintain operational dashboards using Excel, Power BI, and Python.
Produce monthly operational reports and presentations for cross-functional teams to inform decision-making and drive efficiency improvements.
2-3 years relevant experience in Tech/IT, Research, or Operations industry.
Graduation in Engineering/Tech required; Master’s or MBA preferred with coursework in business or advanced analytics preferred.
Proficiency in PowerPoint, MS Excel; intermediate knowledge of Power BI and Python mandatory.
Program management experience and ability to provide independent fact-based opinions required.
Experience working cross-functionally with product, engineering, and leadership teams in a fast-paced environment managing multiple priorities.
Strong quantitative and qualitative analytical skills with ability to translate insights into actionable recommendations.
Operates independently with program management capability and prioritizes delivering data-driven business solutions.