About Match Affinity
Match 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 Role
As 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 Do
A strong knowledge querying massive and complex datasets, analyzing, and driving key and actionable insights
Working with other cross-functional teams like Finance, CRM, Engineering and Business Intelligence; proactively engage other teams to identify and drive better user experience
Providing internal consulting to product management, marketing, finance, and CRM teams on A/B tests as they move initiatives from concept to market
Presenting technical content across business stakeholders
Working as the product owner of revenue and retention strategies for the product
Serving as the subject matter expert on applying various statistical methodologies towards distilling actionable insights
Researching issues about customer behavior/changes by analyzing relevant metrics, trends and supporting enterprise level initiatives
Supporting these products: Chispa, BLK, Upward, Yuzu
You might be a Match if you have:
3+ years of hands on SQL (or structured data) experience along with advanced Excel Skills
Exposure to applied statistics (descriptive statistics, statistical testing, design of experiments, linear modeling, time series analysis etc); Python/SPSS/SAS/R experience a plus
Self-starter with good communications skills
You 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 findings
Excellent problem solving skills
Bachelor’s or Master’s degree in Statistics,Economics, Computer Science, Engineering related field, Marketing, or MBA with quantitative focus
Experience in product analytics supporting digital applications including mobile apps & consumer internet is preferred
Fluent English is required.
Import to know:
As a global company operating across different time zones, flexibility in working hours will be important for this role.
Please submit your CV in English
