Match Group

Data Analyst

Match Group

full-time

Posted on:

Location Type: Remote

Location: Brazil

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Tech Stack

PythonSQL

About the role

  • 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.
  • Partner with cross-functional teams to provide long-term strategic insights for our products.
  • Support business trends/forecasting and model the financial impact of new product ideas.
  • 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.

Requirements

  • 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.
Benefits
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLExcelapplied statisticsdescriptive statisticsstatistical testingdesign of experimentslinear modelingtime series analysisPythonR
Soft skills
communication skillsproblem solvingself-starter
Certifications
Bachelor’s degreeMaster’s degreeMBA