Easy Apply
Easy Apply
The Staff Data Analyst will drive insights to optimize monetization strategies, analyze datasets, and provide actionable insights to various teams for revenue growth.
Match Group’s Evergreen & Emerging (E&E) organization is one of the world’s leading online dating groups, home to a diverse and well-known portfolio that includes OkCupid, Match.com, Meetic, PlentyOfFish, Affinity, and more. Our team is based in Vancouver and works closely with other Match Group (NASDAQ: MTCH) brands like Tinder and Hinge.
We love what we do and are motivated by the opportunity to make a positive impact on millions of people every day. We work hybrid on Tuesdays, Wednesdays, and Thursdays in our downtown Vancouver office, and remotely the rest of the week.
About the Role
We’re looking for a Staff Data Analyst to join Match Group’s E&E Monetization Pod, driving insights that shape how our brands create value for users and the business. You’ll thrive in this role if you’re a strategic thinker who’s comfortable with ambiguity, moves quickly, and looks for opportunities to make an impact. You’ll work closely with Product Managers, Engineers, Designers, and other teams to help drive revenue growth, improve feature adoption, and find new monetization levers. You’ll also partner with analysts across engagement, marketing, and trust & safety, sharing clear, high-impact insights with both your team and executive leadership to guide important decisions across the organization.
How you will make impact:
- Monetization Experimentation – Design and analyze A/B tests to optimize pricing strategies, feature adoption, and subscription conversion.
- Insight Generation – Analyze large-scale datasets to identify monetization opportunities, behavioral patterns, and friction points.
- Strategic Storytelling – Translate complex data into compelling, actionable insights for cross-functional teams and senior leadership.
- Opportunity Discovery – Drive impact by proactively identifying new questions and value areas before they’re asked.
- Cross-Functional Impact – Work with Engagement, Marketing, and Trust & Safety pods to balance user experience and monetization goals.
- Fast Execution – Adapt quickly, iterate on analyses, and prioritize ruthlessly in a dynamic environment with evolving business needs.
We may be a Match if:
- 7+ years of experience in data analytics, including at least 3 years in consumer technology.
- Experience working with raw telemetry and datasets with 100M+ rows.
- Strong background in A/B testing design, execution, and interpretation.
- Proficiency in SQL and experience using Python for advanced analysis.
- Strong business intuition and understanding of how data connects to product decisions.
- Excellent communication skills and confidence in presenting insights to cross-functional teams and executive leadership.
- Comfortable working independently, navigating ambiguity, and taking initiative.
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.
If you require a reasonable accommodation to participate in the hiring process — such as during pre-employment testing or interviews — please indicate this by selecting “Yes” in the accommodation request field. We’ll reach out to discuss your needs if you're selected for the interview stage.
#MG
Top Skills
Python
SQL
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