Sr. Manager, Marketing Analytics

The Team

The Marketing Analytics team is Match Group's central analytics hub for our Emerging & Established (E&E) brands, connecting marketing, product, finance, and experimentation insights into a clear, coherent view of business performance.

Our mission is to turn distributed data signals into cohesive, actionable narratives that help brand and portfolio leadership understand what is happening across the business, and why. We do for ~17 E&E brands across 28 markets and 46 brand/market combinations what the team also does for Tinder: own trends and monitoring, experimentation, roadmap and strategy translation, and the executive narratives that drive decisions.

The team operates across three core functions:

• Insights & Performance (Analysts): Own brand and pod-level performance insights and stakeholder partnerships.
• Measurement & Experimentation (Data Scientists): Provide advanced analytics, causal measurement, and experimentation guidance and interpretation.
• Strategy & Operations: Maintain reporting infrastructure, metric governance, and scalable analytics processes.

We are seeking a Senior Manager of Marketing Analytics to lead the E&E Insights function, building and coaching the analyst team that owns full-funnel performance narratives across the E&E portfolio, and serving as the senior analytics partner to brand and cross-functional leadership. This is the first people-leadership hire on the team and a builder's role: you will stand up the operating model, set the analytical bar, and grow the team as coverage scales.

In This Role, You Will

Lead, Coach, and Grow the E&E Insights Team

• Build, manage, and develop a team of brand/pod analysts, owning hiring, onboarding, coaching, prioritization, and career growth.
• Set the analytical and communication bar for the team and establish the operating rhythm from the ground up.
• Create a collaborative, high-performing environment where a small team punches above its weight across a large brand surface.

Own the Full-Funnel E&E Performance Narrative

• Be accountable for trend monitoring, first-response investigations, and the full-funnel story (acquisition → engagement → retention → revenue) across the E&E brand portfolio.
• Proactively surface opportunities and risks across brands and markets as well as influence strategy through data-driven recommendations.
• As a player-coach, especially while the team is small, personally lead the most complex cross-brand investigations and executive readouts.

Translate Measurement into Brand Action

• Own the consumption-and-translation layer for E&E: turn PRISM incrementality, MMM, and HALO model outputs into clear test, optimization, and expansion recommendations.
• Partner with Data Science on test design priorities and surface measurement needs on behalf of the brands.
• Enforce analytical rigor and consistency across brand stakeholders without ceding ground.

Translate Insights into Executive-Level Narratives

• Own the E&E sections of leadership forums (QMO, WBR) and ad hoc leadership analysis, ensuring a consistent, unified read across ~17 brands.
• Frame insights in terms of business impact, trade-offs, and recommended actions.
• Influence decision-making through strong storytelling and structured communication.

Manage Stakeholder Relationships

• Serve as the senior analytics partner to E&E brand and PMG leads, owning the weekly and monthly cadence and setting clear expectations on what the team delivers.
• Act as a key interface between Marketing Analytics and partner teams (Marketing, Product, Finance, PRISM, and BI/Ops), ensuring alignment on performance drivers.

Build for Scale and Raise the Analytical Bar

• Establish standardized frameworks, playbooks, and metric definitions so coverage of 46 brand/market combinations does not depend on heroics.
• Champion the use of AI across the team and coach the team to adopt it.
• Partner with BI/Ops and Measurement to automate manual load, and keep the E&E and Tinder operating models symmetric.

You'll Need

Education & Experience

• Bachelor's, Master's, or equivalent experience in a quantitative field (e.g., Economics, Statistics, Mathematics, Data Science, Business Analytics, or a related discipline).
• Significant experience in analytics, business intelligence, or data analysis, including experience leading, coaching, or mentoring analysts.
• Experience owning senior stakeholder relationships and delivering in a fast-paced, high-ambiguity environment, ideally standing up or scaling a new function.

People Leadership

• Proven ability to build, coach, and retain a high-performing analytics team, and to set standards for quality, communication, and impact.
• Genuine appetite for management.
• Comfort operating as a player-coach, leading the team while remaining hands-on on the hardest problems.

Analytical Skills

• Strong SQL for querying and analyzing large datasets.
• Proficiency with data visualization and BI tools (e.g., Tableau, Mode, Hex, Databricks).
• Strong understanding of funnel analysis, cohort analysis, and behavioral analytics.
• Working knowledge of experimentation and incrementality concepts, enough to partner credibly with Data Science and PRISM.

AI Fluency

• Actively uses AI tooling to scale a small team's output across many brands.
• Brings a clear point of view on where AI adds leverage, and coaches the team to adopt it in daily work.

Business & Strategic Thinking

• Strong ability to connect data insights to brand and portfolio strategy and outcomes.
• Experience influencing stakeholders and shaping decisions through analytics.
• Understanding of how marketing, product, and revenue dynamics interact.

Communication & Leadership

• Excellent communication skills, with the ability to present to senior stakeholders and executives.
• Ability to translate complex analysis into clear, actionable insights and compelling narratives.
• Proven ability to lead cross-functional initiatives and influence without authority.

Collaboration

• 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.