Senior Data Analyst, Core

The Match Group Core Data team is seeking a Senior Data Analyst to help identify and unlock product and cross-brand business opportunities at the enterprise scale across Match Group, which includes brands such as Tinder, Hinge, and Plenty of Fish. Reporting to the Senior Director of Analytics Strategy & Innovation, this person will serve as a trusted partner to Brand Senior Leadership, Product, Data Engineering, and corporate teams.

This role is ideal for someone who can move fluidly between hands-on analysis, product strategy, experimentation, and data foundation work. You will help define how we measure our enterprise business, uncover portfolio-wide opportunities, and turn complex customer, brand, and operational signals into actionable insights that improve outcomes across Match Group’s consumer dating ecosystem.

• Define and evolve KPIs, including platform health, adoption, quality, and business impact across brands.

• Partner with Product Managers and Product Leadership to frame problems, size opportunities, define success metrics, and inform roadmap priorities.

• Lead product feature experiment design, feature performance measurement, cohort analysis, and post-launch evaluation.

• Analyze large, complex datasets to size the reach and impact of product feature opportunities, leveraging cross-brand datasets.

• Partner with Data Engineering to improve instrumentation, metric definitions, data models, and self-service analytics.

• Build dashboards and analytical frameworks that help teams monitor performance and make faster decisions.

• Translate ambiguous questions into clear analysis, practical recommendations, and compelling narratives.

• 7+ years of experience using quantitative analysis to drive product and business decisions in digital product environments.

• 4+ years of experience directly supporting Product Managers or embedded within a product organization.

• Highly capable storyteller who can turn a hypothesis into a validated, compelling opportunity for our internal customers and senior executives.

• Experience owning product metrics and evaluating feature performance through experimentation, funnel analysis, retention analysis, and segmentation.

• Strong technical analytics skills across large datasets, from event-level data to executive reporting.

• Strong understanding of product analytics in multi-sided or B2B2C ecosystems.

• Experience improving instrumentation, event schemas, and data models to increase data quality and speed to insight.

• Familiarity with split testing and experimentation methods, including statistical significance testing.

• Advanced SQL skills

• Experience with BI and visualization tools such as Databricks Dashboards, Looker, Tableau, Quicksight, or similar.

• Very strong communication skills and the ability to influence both technical and non-technical stakeholders.

• Familiarity with user growth analytics preferred.