Product Insights Analyst @ GeneDx
Summary 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. Job Responsibilities 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. Enable self-service for product colleagues. 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. Education, Experience, and Skills 2–4 years of experience in data analytics, product analytics, or business intelligence. Skilled in BI and visualization tools like Tableau, PowerBI, Looker,…
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