Product Insights Analyst - Remote

Overview

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.

In Short

• 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.
• Work with technical and non-technical team members to understand product roadmaps, customer user journeys, and business processes that impact key metrics.
• Become a domain expert for data related asks and questions and assist team members with uncovering answers to their questions using data-driven methods.
• Proactively surface anomalies, insights, and opportunities for optimization.

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