About The Position

Responsibilities: Owns and supports end‑to‑end product management activities for analytics products, platforms, or significant analytics feature enhancements, with full accountability for success and outcomes. Partners with stakeholders to conduct market, customer, and technical research to identify analytics needs, data gaps, and opportunities for insight generation. Develops, maintains, and communicates the analytics product and feature roadmap, ensuring alignment with business goals, data strategy, and customer value. Works closely with data engineering, analytics engineering, data science, and user experience teams to define detailed product requirements, metrics, and data models. Identifies and proactively resolves issues or risks within the analytics product area that may impact delivery timelines, data quality, or analytical outcomes. Defines customer and internal user segments with high growth or impact potential; builds data‑driven business cases to prioritize analytics initiatives and capabilities. Coordinates cross‑functional teams and manages ROI by ensuring analytics investments deliver measurable business value and actionable insights. Establishes success metrics and continuously measures, monitors, and analyzes the impact of analytics products, dashboards, and growth initiatives. Identifies opportunities to innovate analytics solutions, improve data accessibility, and enhance decision‑making through advanced reporting, experimentation, and predictive insights. Builds strong internal relationships across business, technology, and data teams to drive adoption, implementation, and sustained usage of analytics products. Conducts business and financial analysis, including forecasting analytics demand, monitoring performance metrics, and reporting outcomes to leadership. Stays current with industry best practices, emerging analytics technologies, and vendor solutions; builds and manages vendor relationships where applicable. Understands how analytics, data platforms, and technology advancements drive revenue growth, operational efficiency, and improved customer satisfaction. Qualification: Relevant experience as a Product manager analytics - Minimum 8+ years Experience in Digital retail is Mandatory

Requirements

  • Relevant experience as a Product manager analytics - Minimum 8+ years
  • Experience in Digital retail is Mandatory

Responsibilities

  • Owns and supports end‑to‑end product management activities for analytics products, platforms, or significant analytics feature enhancements, with full accountability for success and outcomes.
  • Partners with stakeholders to conduct market, customer, and technical research to identify analytics needs, data gaps, and opportunities for insight generation.
  • Develops, maintains, and communicates the analytics product and feature roadmap, ensuring alignment with business goals, data strategy, and customer value.
  • Works closely with data engineering, analytics engineering, data science, and user experience teams to define detailed product requirements, metrics, and data models.
  • Identifies and proactively resolves issues or risks within the analytics product area that may impact delivery timelines, data quality, or analytical outcomes.
  • Defines customer and internal user segments with high growth or impact potential; builds data‑driven business cases to prioritize analytics initiatives and capabilities.
  • Coordinates cross‑functional teams and manages ROI by ensuring analytics investments deliver measurable business value and actionable insights.
  • Establishes success metrics and continuously measures, monitors, and analyzes the impact of analytics products, dashboards, and growth initiatives.
  • Identifies opportunities to innovate analytics solutions, improve data accessibility, and enhance decision‑making through advanced reporting, experimentation, and predictive insights.
  • Builds strong internal relationships across business, technology, and data teams to drive adoption, implementation, and sustained usage of analytics products.
  • Conducts business and financial analysis, including forecasting analytics demand, monitoring performance metrics, and reporting outcomes to leadership.
  • Stays current with industry best practices, emerging analytics technologies, and vendor solutions; builds and manages vendor relationships where applicable.
  • Understands how analytics, data platforms, and technology advancements drive revenue growth, operational efficiency, and improved customer satisfaction.

Benefits

  • Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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