Product Insights Analyst

Description:
• We are seeking a curious and detail-oriented Product Data Analyst to join our Product organization.
• In this role, you will turn raw data into meaningful insight—fueling decisions that improve the health and performance of our products and experiences.
• Your analyses will support cross-functional product strategy, innovation, and optimization for both our clinical/lab test products and our customer experience (CX) solutions.
• This role is ideal for someone passionate about identifying patterns, visualizing trends, and enabling data-driven decisions.
• You’ll work closely with product leaders, product designers, and other stakeholders to design and define key metrics and ensure we’re delivering measurable value to customers.
• We believe data is fuel for customer-driven growth, and you’ll play a key role in helping us earn that right.
• Partner with product teams to identify and define key measures of value for our products overall, as well as OKRs and specific metrics for development programs and projects.
• Use skills in data modeling, analysis, and visualization to directly support data driven decision making within core product areas.
• Analyze patterns in areas such as product/feature adoption, customer behavior, and retention to uncover improvement and optimization opportunities.
• Translate complex data into clear, actionable, timely insights for stakeholders.
• Design, build, and maintain dashboards, visualizations, and reporting tools to measure and track product health and business outcomes.

Requirements:
• 2–4 years of experience in data analytics, product analytics, or business intelligence.
• Skilled in BI and visualization tools like Tableau, PowerBI, Looker, Sigma, and Excel
• Familiarity and experience with database applications and tools such as Snowflake, Databricks, SQL, dbt, Python, and R; fluency in one or more of these.
• Familiarity with Git/GitHub and version control practices.
• Demonstrated ability to frame questions, test hypotheses, and tell clear and compelling stories from complex data.
• Strong communication skills and comfort working with technical and non-technical stakeholders.
• Healthcare or diagnostics experience is a plus (e.g., revenue cycle, lab, digital health).
• Bachelor’s degree required; quantitative field preferred (e.g. Statistics, Mathematics, Computer Science, Economics, or similar); Master’s degree a plus.

Benefits:
• Paid Time Off (PTO)
• Health, Dental, Vision and Life insurance
• 401k Retirement Savings Plan
• Employee Discounts
• Voluntary benefits

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