Strategic Analytics & Reporting Manager

Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals.

As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the “so what” to an executive.

Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E).

You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences.

How you’ll make an impact:

• Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent “state of the business” view for corporate and BU leadership.

• Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences.

• Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions.

• Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation.

• Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep.

We could be a match if:

• You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree.

• You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system.

• You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them.

• You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar).

• Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers.

• You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week.

• You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper.

• Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics.

• Bachelor's degree required; a quantitative or technical concentration is a plus but not required.

• *Applicants will be required to complete a SQL skills assessment.