Senior Product Analytics Manager

4c6080aa-b301-48ff-b408-c79a84ddeadf• Remote, US,

21h•$175,000 - $185,000•Remote

About The Position

At Staritas, the Senior Product Analytics Manager measures product performance and delivers actionable insights to support product strategy and business objectives. The role partners with Product, Engineering, Customer Success, Sales, Leadership, and other relevant stakeholders to define key metrics, evaluate customer behavior, and drive data-informed decisions. The position develops dashboards, reports, and analytics to monitor product adoption, engagement, and customer outcomes; defines product performance metrics, KPIs, and reporting standards; and analyzes customer behavior, usage trends, and product performance to identify improvement opportunities. It supports roadmap prioritization and strategic planning through data-driven insights, develops business cases, forecasts, and ROI analyses for product initiatives, and helps evaluate product success and business impact. The role also ensures consistent and accurate reporting and data governance, supports predictive analytics, AI-driven initiatives, and advanced reporting where applicable, and communicates findings and recommendations across the organization. Other related duties may be assigned. This is a fully remote role with up to 20% travel based on business needs. Employees are expected to attend periodic company gatherings, which may last up to one week, with ample notice. The work is primarily performed at a desk or workstation and involves use of standard office equipment. The position offers a base salary range of $175,000–$185,000 annually, plus a comprehensive benefits package.

Requirements

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.
At least 5 years of experience in product analytics, business intelligence, data analytics, or related roles.
Experience with predictive analytics, AI, or machine learning concepts, including experience 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.
Proficiency with Microsoft Office 365.
Experience with Power BI, Tableau, SQL, Jira, Confluence, and other analytics and reporting tools.
Demonstrated experience using metric-based applications such as Pendo or similar applications.
NPS experience is required.

Nice To Haves

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.

Responsibilities

Develop dashboards, reports, and analytics to monitor product adoption, engagement, and customer outcomes.
Define and maintain product performance metrics, KPIs, 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.
Perform other related duties as assigned.