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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. 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 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. $ 116000- $133000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Vancouver, Canada. This salary will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting. LI-CENTRAL LI-TM2 Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Generous vacation, flex days, professional development days RRSP matching, and employee stock purchase plan Professional development budget and unlimited access to Udemy from day one 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 And many more on our careers page We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. 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