Data Analyst

About Match AffinityMatch Affinity is a division of Match Group that drives the fastest growing dating apps.Every month, millions of users come to our apps, like BLK and Chispa, to find matches and make great connections.The RoleAs a Data Analyst on our Product Analytics Team, you'll use data to understand our users — what they need, what they do, how to retain them, and ultimately how to help them find the best dates.Then you will partner with cross-functional teams to provide long-term strategic insights for our products.You will also support business trends/forecasting and model the financial impact of new product ideas.What You'll DoA strong knowledge querying massive and complex datasets, analyzing, and driving key and actionable insightsWorking with other cross-functional teams like Finance, CRM, Engineering and Business Intelligence; proactively engage other teams to identify and drive better user experienceProviding internal consulting to product management, marketing, finance, and CRM teams on A/B tests as they move initiatives from concept to marketPresenting technical content across business stakeholdersWorking as the product owner of revenue and retention strategies for the productServing as the subject matter expert on applying various statistical methodologies towards distilling actionable insightsResearching issues about customer behavior/changes by analyzing relevant metrics, trends and supporting enterprise level initiativesSupporting these products: Chispa, BLK, Upward, YuzuYou might be a Match if you have3+ years of hands on SQL (or structured data) experience along with advanced Excel SkillsExposure to applied statistics (descriptive statistics, statistical testing, design of experiments, linear modeling, time series analysis etc); Python/SPSS/SAS/R experience a plusSelf-starter with good communications skillsYou have experience going beyond number-crunching, reports, and dashboard creation — you are able to understand the business impact of the data and make recommendations based on your findingsExcellent problem solving skillsBachelor's or Master's degree in Statistics, Economics, Computer Science, Engineering related field, Marketing, or MBA with quantitative focusExperience in product analytics supporting digital applications including mobile apps & consumer internet is preferredFluent English is required.$ - $ a year#J-*****-Ljbffr