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Product Analyst

Match Group · New York, New York · Hybrid · Active · $93,500–$110,500 / year · Lever

Job facts

FieldValue
CompanyMatch Group
TitleProduct Analyst
Normalized title-
Department / teamTinder / Product Analytics
LocationNew York, NY, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$93,500–$110,500 / year
Statusactive
ATS providerLever
Posted / first seen2026-04-15 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Match Group.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Tinder.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMatch Group
Sourcecad27147-ba1a-4e3d-8008-1d5aa12d0cd7
ATS providerLever

Description

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 You’ll need: 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. As a full-time employee, you’ll enjoy: 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 forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Free premium subscriptions for several Match Group apps – including Tinder Platinum!

Full job record

Job ID56aebe4cf22b67b859a0121b3a2fab2c5684a446
Org IDebc47b6a-8876-45bc-885d-50880fc283e3
Source IDcad27147-ba1a-4e3d-8008-1d5aa12d0cd7
Board IDcad27147-ba1a-4e3d-8008-1d5aa12d0cd7
Providerlever
Provider Job Key5ebb103e-5c81-4772-aef5-0bf767f52157
TitleProduct Analyst
Normalized Title
Statusactive
Activeyes
Location TextNew York, New York
DepartmentTinder
TeamProduct Analytics
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionNY
CityNew York
Salary RawUSD 93500-110500 per-year-salary
Salary Min93,500
Salary Max110,500
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/matchgroup/5ebb103e-5c81-4772-aef5-0bf767f52157
Apply URLhttps://jobs.lever.co/matchgroup/5ebb103e-5c81-4772-aef5-0bf767f52157/apply
First Seen At2026-05-29 07:07:24Z
Last Seen At2026-06-06 07:57:18Z
Last Checked At2026-06-06 07:57:18Z
Last Changed At2026-05-29 07:07:24Z
Inactive At
Source Posted At2026-04-15 21:58:25Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=matchgroup/date=2026-06-06/2026-06-06T07-57-18-335Z-65de7e1111abce3e5fa58d0d24422868cf0554552f33bc5b7b9a3ac9a42f4198.json
Event Fields
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  "last_changed_at": "2026-05-29T07:07:24.833Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "New York, New York",
    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.85
  },
  "salary_max": 110500,
  "salary_min": 93500,
  "inferred_at": "2026-06-06T07:57:18.880Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York, New York",
      "city": "New York",
      "region": "NY",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.85
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "You’ll need:",
      "content": "<div>\n<ul style=\"margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;\">\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"background-color: #ffffff; margin-top: 12pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; color: #202124;\">Bachelor’s degree or equivalent in a quantitative field, Master’s degree or PhD with a social science background preferred.&nbsp;</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">1-2 years of professional working experience in Data Science and/or analytics preferred.&nbsp;</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Experience with SQL and data visualization tools (e.g. Tableau or Mode) is a plus, not required.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Familiarity with scripting languages (e.g., Python or R) and applied statistical methods; experience with A/B testing is a plus.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Exposure to causal inference concepts or methods is a plus.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data.&nbsp;</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Eagerness to identify and explore new product opportunities, potential improvements to our data infrastructure, and unanswered questions about member behavior.&nbsp;</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Comfort using descriptive and inferential statistics.&nbsp;</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 12pt;\"><span style=\"font-size: 11pt;\">Curiosity of how things work, from both a business and technical perspective.&nbsp;</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 12pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">A collaborative growth mindset with a dedication to community-based projects and partnerships. </span></p>\n</li>\n\n</ul></div>"
    },
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      "text": "As a full-time employee, you’ll enjoy:",
      "content": "<div>\n<ul style=\"margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;\">\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 12pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Unlimited PTO (with no waiting period), 10 Sick Days</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Time off to volunteer and charitable donations matching&nbsp;</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Comprehensive health, vision, and dental coverage</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 12pt;\"><span style=\"font-size: 11pt;\">Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">\n<p style=\"margin-top: 12pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Free premium subscriptions for several Match Group apps – including Tinder Platinum!</span></p>\n</li>\n\n</ul></div>"
    }
  ],
  "country": "US",
  "createdAt": 1776290305426,
  "updatedAt": null,
  "categories": {
    "team": "Product Analytics",
    "location": "New York, New York",
    "commitment": "Full-time",
    "department": "Tinder",
    "allLocations": [
      "New York, New York"
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  },
  "salaryRange": {
    "max": 110500,
    "min": 93500,
    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "hybrid"
}
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