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Analytics Product Manager Jobs (On-site work)

4 Job Offers

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Technical Product Manager, Data & Analytics Platform
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Technical Product Manager needed in San Francisco to own the data platform, analytics, and AI/agentic workflows at Mariana Minerals. Requires 4-8+ years in technical product management, data infrastructure depth, and hands-on prototyping skills.
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Not provided
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Until further notice
Manager, Product Manager – Model Analytics & Forecasting
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United States, McLean, VA, Richmond, VA, Cambridge, Massachusetts
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149800.00 - 188100.00 USD / Year
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Until further notice
Product Manager – AI / Analytics - LATAM
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Seeking a visionary **Product Manager** to lead **AI, Analytics, and GenAI** product strategy in **Monterrey, Mexico**. You will define the multi-year roadmap, drive high-impact use cases across Supply Chain and Commercial domains, and influence senior stakeholders. Ideal candidates bring 10+ yea...
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Not provided
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Senior Product Manager - Technical, Quick Sight - Structured Data Analytics
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Senior Product Manager - Technical role at Amazon QuickSight in Seattle, WA. Drive roadmap strategy and feature delivery for a decision intelligence service powering millions of users. Requires experience in technical product management, engineering collaboration, and customer advocacy. Benefits ...
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151200.00 - 204600.00 USD / Year
Expiration Date
Until further notice

About the Analytics Product Manager role

Discover and apply for Analytics Product Manager jobs, a pivotal role at the intersection of data science, business strategy, and user experience. An Analytics Product Manager is responsible for the end-to-end development and lifecycle of data-driven products and features that transform raw information into actionable insights. Unlike general product managers, these professionals specialize in platforms such as business intelligence dashboards, embedded analytics, data visualization tools, and advanced reporting systems. Their core mission is to empower users—from frontline employees to C-suite executives—to make faster, smarter, data-informed decisions.

Typical responsibilities for professionals in Analytics Product Manager jobs are multifaceted. They begin by deeply understanding user pain points and key business questions, translating these needs into a clear product vision and strategy. They prioritize a roadmap for features that might include interactive dashboards, predictive models, or automated insight generation. A significant part of the role involves collaborating with cross-functional teams: defining detailed requirements for data engineers and scientists, working with UX designers to create intuitive visualizations for complex data, and partnering with go-to-market teams to articulate the product's value. Furthermore, they own the success metrics for their own product, constantly analyzing usage data to iterate and improve.

The skill set required for these positions is a unique blend of technical, analytical, and soft skills. Successful candidates typically possess several years of product management experience, specifically with data-intensive products. A strong analytical mindset is non-negotiable; they must be proficient in SQL, understand data modeling concepts, and grasp the principles of effective data visualization. Equally important are strategic thinking and business acumen to ensure every feature delivers tangible ROI. Exceptional communication and stakeholder management skills are crucial, as they must bridge the gap between technical teams and non-technical business leaders, explaining complex concepts with clarity. A customer-centric approach, validated through continuous user research and feedback loops, is the foundation of their work.

For those seeking Analytics Product Manager jobs, the career path offers the opportunity to drive significant organizational impact by unlocking the value hidden in data. It's a role for those who are passionate about storytelling with numbers, obsessed with user adoption, and skilled at turning abstract data into products that deliver real-world outcomes. Explore the latest opportunities in this dynamic field and find a role where you can shape the future of data-driven decision-making.