Senior Product Analytics Manager
New
S
StaritasHealthcare technology
Source API remote eligibility restrictions: United StatesFull-TimeManager
SalaryThe base compensation range for this position is $175,000 - $185,000 annually, plus a comprehensive benefits package.
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Job Details
- Experience
- 5+ years of experience in product analytics, business intelligence, data analytics, or related roles.
- Required Skills
- SQLBusiness IntelligenceMicrosoft Power BIJiraTableauProduct AnalyticsConfluence
Requirements
- Hold a bachelor's degree in Analytics, Statistics, Business, Information Systems, Computer Science, Healthcare Informatics, or a related field, or have an equivalent combination of education and experience.
- Have 5+ years of experience in product analytics, business intelligence, data analytics, or related roles.
- Have experience developing dashboards, KPIs, and executive reporting.
- Have experience building customer health dashboards.
- Have experience with Power BI, Tableau, SQL, Jira, Confluence, and analytics and reporting tools.
- Be proficient with Microsoft Office 365.
- Have experience using metric-based applications such as Pendo or similar applications.
- Have NPS experience.
- Be familiar with predictive analytics, AI, or machine learning concepts.
- Have experience working with cross-functional teams in a fast-paced environment.
- Be able to travel up to 20% based on business needs; attendance at occasional gatherings is expected.
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 with 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.
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