Who are we?

We are the Latin American division of Match Group, the world’s leading company for dating websites and apps. You’ve likely heard of some of our brands: Match.com, Tinder, OkCupid, Par Perfeito, Divino Amor, Our Time, Hinge, Stir, and many others!

Our mission is clear: to create meaningful connections for everyone, everywhere. We are driven by passion and a belief in love. We are committed to developing and integrating technology that brings people together.

Our global portfolio includes:

– Par Perfeito – a trailblazer in Brazil and the country’s largest platform for serious online relationships.
– Hinge – an inclusive dating app for people seeking genuine, real-world relationships.
– POF – a dating platform for those looking for both casual and serious relationships.
– Match.com – the largest dating site in the world.
– Tinder – the top global app for meeting new people.

Match Affinity, a division of Match Group, powers some of the fastest-growing dating apps. Each month, millions of users turn to our platforms—like BLK and Chispa—to find matches and build meaningful connections.

As a Data Analyst on our Product Analytics Team, you’ll leverage data to understand our users—their needs, behaviors, and how to retain them—ultimately helping them find the best matches. You’ll collaborate with cross-functional teams to deliver strategic insights, support business forecasting, and evaluate the financial impact of new product ideas.

Key responsibilities include:

– Analyzing large and complex datasets to extract actionable insights.
– Collaborating with teams across Finance, CRM, Engineering, and Business Intelligence to enhance user experience.
– Advising teams on A/B testing and guiding initiatives from concept to launch.
– Communicating technical findings to business stakeholders.
– Leading revenue and retention strategies for our products.
– Applying statistical methods to generate insights.
– Investigating customer behavior and trends to support company-wide initiatives.
– Supporting products such as Chispa, BLK, Upward, and Yuzu.

You might be a great fit if you have:

– 3+ years of hands-on experience with SQL or structured data and advanced Excel skills.
– Knowledge of applied statistics (e.g., descriptive stats, A/B testing, experimental design, linear modeling, time series analysis); experience with Python, SPSS, SAS, or R is a plus.
– Strong communication skills and a self-starter attitude.
– The ability to go beyond reporting to understand the business implications of data and make strategic recommendations.
– Excellent problem-solving skills.
– A Bachelor’s or Master’s degree in Statistics, Economics, Computer Science, Engineering, Marketing, or an MBA with a quantitative focus.
– Experience in product analytics for digital platforms, including mobile apps and consumer internet.
– Fluency in English.

Please submit your CV in English.

Why work with us?

Our mission is to help people find love and happiness—and we take great care of our team too.

At Match Group LatAm, you’ll enjoy:

– Autonomy in a fun, tech-driven environment that fosters innovation.
– Flexible work hours and remote work options.
– Competitive salary and bonus structure.
– Meal vouchers or allowances.
– Health and dental insurance, extendable to spouses and dependents (excluding interns).
– Gympass to support your wellness.
– Monthly home office stipend.
– Opportunities to attend professional events.
– Access to Udemy for Business with over 183,000 online courses.
– In-house English classes with 80% of the cost covered by the company.
– Annual medical check-ups for employees aged 40+.
– “Baby Bonding Leave” – 12 weeks of fully paid paternity leave.
– International career opportunities within the Match Group network.

We hope you’re excited to join our team and bring your ideas to life in a flexible, non-bureaucratic environment.

So, what do you think?

Ready to help people find love and happiness with us?

If you need any accommodations during the hiring process—such as for interviews or assessments—please let your recruiter know.