Platform Analyst
Role Overview
The role drives data-informed decisions across product and platform portfolios in partnership with Product Managers, Engineering Leaders, business stakeholders, and executive leadership.
The work measures product performance and delivers insights to improve customer experience, adoption, operational efficiency, and business growth.
Key Skills for This Role
Full Job Posting
Role overview
The role drives data-informed decisions across product and platform portfolios in partnership with Product Managers, Engineering Leaders, business stakeholders, and executive leadership.
The work measures product performance and delivers insights to improve customer experience, adoption, operational efficiency, and business growth.
Required qualifications
- Requires 8–12 years in product analytics, product operations, business analytics, strategy and operations, product performance management, or related roles.
- Requires experience supporting Product Management organizations through data, measurement, and business insights.
- Requires demonstrated experience building KPI frameworks, OKRs, dashboards, scorecards, and executive reporting solutions.
- Requires a proven track record of driving business decisions through data.
Metrics, analytics, and reporting
- Define and govern product metrics, KPI frameworks, metric hierarchies, and scorecards aligned with organizational objectives.
- Partner with Product Management on quarterly and annual OKRs and track progress against targets.
- Analyze datasets, customer behavior, user journeys, operational bottlenecks, and product effectiveness; identify performance trends, risks, and opportunities.
- Develop forecasts, trend analyses, benchmarks, measurement models, and recommendations for product initiatives and business programs.
- Create executive dashboards, self-service reporting, automated reporting frameworks, and balanced scorecards; ensure accuracy and data integrity.
Decision support and governance
- Translate analysis into recommendations, strategic actions, roadmap investment decisions, business cases, and ROI assessments.
- Present executive-ready reports and performance narratives; facilitate data-informed planning, prioritization, and governance discussions.
- Improve analytics practices, reporting processes, data quality, KPI governance, data accessibility, and reporting automation in collaboration with data engineering and BI teams.
Locations
- The description lists Bay Area, California; Charlotte, North Carolina; Dallas, Texas; Phoenix, Arizona; and New York, New York.
Compensation
- The source lists compensation of USD 80–85 per hour.
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