Senior Product Analytics Manager

At Staritas , we help healthcare organizations make every choice clear. We're looking for a Senior Product Analytics Manager who will be responsible for measuring product performance and delivering actionable insights that support product strategy and business objectives. This role partners with Product, Engineering, Customer Success, Sales and other relevant business stakeholders to define key metrics, evaluate customer behavior, and drive data-informed decision-making. About the Role Develop dashboards, reports, and analytics to monitor product adoption, engagement, and customer outcomes. Define and maintain product performance metrics, KPI's, and reporting standards. Analyze customer behavior, usage trends, and product performance data to identify opportunities for improvement. Support roadmap prioritization and strategic planning through data-driven insights and recommendations. Develop business cases, forecasts, and ROI analyses for product initiatives. Partner with Product, Engineering, Customer Success, Sales and Leadership teams to evaluate product success and business impact. Ensure consistency and accuracy of product reporting and data governance practices. Support predictive analytics, AI-driven initiatives, and advanced reporting efforts as applicable. Communicate findings and recommendations to stakeholders at all levels of the organization. Performs other related duties as assigned. Required Qualifications Bachelor's degree in Analytics, Statistics, Business, Information Systems, Computer Science, Healthcare Informatics, or a related field; or an equivalent combination of education and experience. 5+ years of experience in product analytics, business intelligence, data analytics, or related roles. Familiarity with predictive analytics, AI, or machine learning concepts experience; this includes experience with building customer health dashboards. Experience developing dashboards, KPIs, and executive reporting. Strong analytical, problem-solving, and communication skills. Experience working with cross-functional teams in a fast-paced environment. Preferred Qualifications Experience within healthcare technology, healthcare analytics, or SaaS organizations. Experience working with large datasets and business intelligence platforms. Familiarity with predictive analytics, AI, or machine learning concepts. Technical Skills Proficient with Microsoft Office 365. Experience with Power BI, Tableau, SQL, Jira, Confluence, and other analytics and...

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