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Senior Data Analyst, Core
Match Group
Vancouver, CAN
Full Time
Senior
1 weeks ago
SQLData AnalysisExperimentationProduct AnalyticsDashboardingLooker
Free
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SQLData AnalysisExperimentation
About the Role
Match Group is seeking a Senior Data Analyst to identify and unlock product and cross-brand business opportunities across brands like Tinder, Hinge, and Plenty of Fish. You will define KPIs, lead experimentation, analyze large datasets, and partner with product and engineering teams to drive actionable insights.
Key Skills for This Role
SQLData AnalysisExperimentationProduct AnalyticsDashboardingLooker
Responsibilities
- Define and evolve KPIs including platform health, adoption, quality, and business impact across brands
- Partner with Product Managers 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
- 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
Requirements
- 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
- Advanced SQL skills
- Experience with BI and visualization tools such as Databricks Dashboards, Looker, Tableau, Quicksight, or similar
- Strong communication skills and ability to influence both technical and non technical stakeholders
Full Job Posting
Role Overview
- The Match Group Core Data team is seeking a Senior Data Analyst to identify and unlock product and cross brand business opportunities.
- Reporting to the Senior Director of Analytics Strategy & Innovation, this role serves as a trusted partner to Brand Senior Leadership, Product, Data Engineering, and corporate teams.
- Ideal for someone who can move between hands on analysis, product strategy, experimentation, and data foundation work.
How You’ll Make An Impact
- 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.
We Could Be a Match If
- 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.
- 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.
- 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 ability to influence both technical and non technical stakeholders.
- Familiarity with user growth analytics preferred.
Why Match Group? Benefits
- Generous vacation, flex days, professional development days.
- RRSP matching, and employee stock purchase plan.
- Professional development budget and unlimited access to Udemy.
- Match Group mentorship program.
- Parental leave top up and fertility preservation benefits.
- Extended health & dental benefits from day one.
- Corporate ClassPass membership and other wellness benefits.
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