The growing Match Group Central Platforms team is looking for an analyst to work cross-functionally with the Match Group organization, and our portfolio of brands, to help identify, understand, and improve business, operations, and product challenges. Reporting to the Director of Product, the Senior Data Analyst will deliver high-quality strategic and tactical analysis; collaborating with the product, engineering, data science, business intelligence, member experience and operations teams. Know where you belong. Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Match, Hinge, Plenty of Fish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our products - it's the foundation of every team we hire.We are flexible and offer full remote or hybrid working models as options to accommodate our team. Match Group is headquartered in Dallas, TX, with offices in LA, Palo Alto, and New York. In this role you will:Own defining, tracking, and monitoring business KPIs for the Central Platforms Product team.Partner with product managers to create hypotheses, define quantitative goals, and design experiments for roadmap projectsPartner with engineering to improve data collection through data infrastructure design, data pipelining, and warehousing solutionsCollaborate with cross-functional teams, including business stakeholders, developers, and data engineers, to identify data requirements, gather feedback, design and implement solutions.Conduct exploratory data analysis to discover patterns and insights to inform future strategy. Gather, compile, and extract meaningful insights from complex datasets, using statistical techniques and machine learning algorithms when applicable.Summarize and evangelize your findings across the company; providing Executives, Product Managers, Engineering teams, and other Data Analysts with deep-dive quantitative analyses in an immediately usable format, extracting key insights from extensive, complex data setsProactively find opportunities to take analytics framework into the next level and lead stakeholders to adopt new frameworks and methodologiesTake ownership of ambiguous and complex analytical assignmentsWe could be a Match if you have:5+ years of progressive experience using quantitative analysis to make business-focused recommendations3+ years of analytics experience working directly with product managers or embedded within a product teamExperience with data warehousing, data pipelining solutions a plusFamiliarity with machine learning concepts and algorithmsProven technical data analytics skills in working with large amounts of data at different levels of aggregation, from raw telemetry to metric stores. Working knowledge of trust and safety analytics metrics (fraud signals, bad actor patterns, etc.)Strong understanding of incrementally as well as sizing business problems and opportunitiesUnderstanding of basic statistical concepts such as confidence interval, normal distribution, correlation, linear regression, and multivariate testingStrong communication skills at different levels of organizational hierarchyProactive skill set that encompasses problem identification, analysis, solution definition, results, and communicationProficiency with SQL, R and Python (or equivalent)In depth experience with data visualization and analytical tools (Amazon QuickSight, Mode Analytics, Power BI, Looker)$ 118000- $141500 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.#LI-CENTRAL#LI-REMOTE#LI-CH1
