Product Analyst

Our Mission: Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™ Our Values Take the Lead We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. Spark Fun We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. The Role: Tinder brings people together. With tens of millions of users and a presence in every country on earth, our reach is expansive and rapidly growing. As a Product Analyst on the Integrity team, you will leverage data and automation to help Tinder solve impactful product and engineering problems such as understanding the impact of our user facing features, and creating metrics to better quantify the user experience. Our team provides Tinder with quantification and understanding of intent, behavior, value, and the potentially complicated ways in which they all interrelate. You will develop frameworks and models for how data should be leveraged in decision making and be a key stakeholder in delivering quantitative tools. An effective Product Analyst at Tinder must have a passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing. You must be able to disseminate findings and recommendations to a variety of partners across the organization via presentations, reports, and dashboards. In this role, your insights will influence the performance of our business, the experience of our members, and the direction of analytics at Tinder. Where you’ll work: This is a hybrid role and requires in-office collaboration three times per week. This is a hybrid role and requires in-office collaboration three times per week in NYC. Commitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder • Bachelor’s degree or equivalent in a quantitative field, Master’s degree or PhD with a social science background preferred. • 1-2 years of professional working experience in Data Science and/or analytics preferred. • Experience with SQL and data visualization tools (e.g. Tableau or Mode) is a plus, not required. • Familiarity with scripting languages (e.g., Python or R) and applied statistical methods; experience with A/B testing is a plus. • Exposure to causal inference concepts or methods is a plus. • Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data. • Eagerness to identify and explore new product opportunities, potential improvements to our data infrastructure, and unanswered questions about member behavior. • Comfort using descriptive and inferential statistics. • Curiosity of how things work, from both a business and technical perspective. • A collaborative growth mindset with a dedication to community-based projects and partnerships. • Unlimited PTO (with no waiting period), 10 Sick Days • Time off to volunteer and charitable donations matching • Comprehensive health, vision, and dental coverage • 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) • 100% paid parental leave (including for non-birthing parents), family…