Sr. Manager, Marketing Analytics

Match Group•Los Angeles, CA

2d•$220,000 - $230,000•Hybrid

About The Position

Match Group is seeking a Senior Manager of Marketing Analytics to lead the Emerging & Established (E&E) Insights function. The role will build and coach the analyst team responsible for full-funnel performance narratives across approximately 17 brands, 28 markets, and 46 brand/market combinations. As the team's first people-leadership hire, this is a builder and player-coach role: establishing the operating model, setting analytical and communication standards, and expanding team coverage while serving as a senior analytics partner to brand and cross-functional leadership. The Marketing Analytics team is Match Group's central analytics hub for E&E brands, connecting marketing, product, finance, and experimentation insights into a coherent view of business performance. The team encompasses Insights & Performance, Measurement & Experimentation, and Strategy & Operations. The Senior Manager leads Insights, while partnering with these functions and other teams to turn data into actionable recommendations and executive narratives. The role is based around working in person three days per week. The listed salary range is $220,000–$230,000 for a position based in Los Angeles, California; geographic adjustments may apply if authorization is granted to work elsewhere.

Requirements

Bachelor's degree, master's degree, or equivalent experience in a quantitative field such as Economics, Statistics, Mathematics, Data Science, or Business Analytics.
Significant experience in analytics, business intelligence, or data analysis, including leading, coaching, or mentoring analysts.
Experience owning senior stakeholder relationships and delivering in a fast-paced, high-ambiguity environment; experience establishing or scaling a new function is preferred by the posting as an ideal background.
Ability to build, coach, and retain a high-performing analytics team and set standards for quality, communication, and impact.
Genuine interest in management and multiplying a team's output.
Comfort operating as a player-coach, leading a team while remaining hands-on with difficult analytical problems.
Strong SQL skills for querying and analyzing large datasets.
Proficiency with data visualization and BI tools such as Tableau, Mode, Hex, or Databricks.
Strong understanding of funnel analysis, cohort analysis, and behavioral analytics, with the ability to connect metrics into a narrative.
Working knowledge of experimentation and incrementality sufficient to partner with Data Science and PRISM and assess analytical rigor.
Active use of AI tools to scale analysis, drafting, synthesis, and repeatable workflows across brands; ability to articulate where AI adds leverage and coach others in its use.
Ability to connect data insights to brand and portfolio strategy and business outcomes.
Experience influencing stakeholders and shaping decisions through analytics.
Understanding of how marketing, product, and revenue dynamics interact.
Excellent communication skills, including presenting to senior stakeholders and executives.
Ability to translate complex analysis into clear, actionable insights and compelling narratives.
Ability to lead cross-functional initiatives and influence without authority.
Strong cross-functional partnership skills across Marketing, Product, Finance, Data Science, and PRISM.
Ability to operate effectively across many brands and markets in a high-ambiguity environment.

Nice To Haves

Experience standing up or scaling a new function.
Prior or emerging people-management experience; the posting describes a director-level benchmark of managing analysts, and ideally managers, through ambiguity.
Experience with Tableau, Mode, Hex, or Databricks (examples of relevant BI and visualization tools).

Responsibilities

Build, manage, and develop a team of brand and pod analysts, including hiring, onboarding, coaching, prioritization, and career development.
Set analytical and communication standards and establish the team's operating rhythm.
Create a collaborative, high-performing environment that supports broad brand coverage.
Own trend monitoring, first-response investigations, and full-funnel performance narratives across the E&E portfolio, from acquisition through engagement, retention, and revenue.
Identify opportunities and risks across brands and markets and influence strategy with data-driven recommendations.
Personally lead complex cross-brand investigations and executive readouts, especially while the team is small.
Translate PRISM incrementality, MMM, and HALO model outputs into recommendations for testing, optimization, and expansion.
Partner with Data Science on test-design priorities and surface brands' measurement needs.
Maintain analytical rigor and consistency across brand stakeholders.
Own E&E content for leadership forums, including QMO and WBR, and deliver ad hoc leadership analysis with a consistent view across the portfolio.
Frame insights around business impact, trade-offs, and recommended actions, and influence decisions through clear storytelling.
Serve as the senior analytics partner to E&E brand and PMG leads; own weekly and monthly cadences and set delivery expectations.
Coordinate with Marketing, Product, Finance, PRISM, and BI/Ops partners to align on performance drivers.
Establish standardized frameworks, playbooks, and metric definitions to support scalable coverage of brand/market combinations.
Champion AI use to accelerate analysis, draft narratives, and create repeatable workflows; coach the team in its adoption.
Partner with BI/Ops and Measurement to automate manual work and maintain symmetry between E&E and Tinder operating models.