Senior Analyst, Product Analytics

Match Group Americas, LLC (f/k/a Match LLC)

Dallas, TX

Coordinate with product managers, marketing, and CRM teams as company-specific A/B tests move
initiatives from concept to market by communicating business insights gleaned from analysis of large data
sets of app-specific data. Leverage various DOE methodologies to customize test set-up for experiments
spanning company product updates (new features, user interface or user experience (UI/UX) changes
etc.), pricing variations, and CRM campaigns. Utilize tools including Hadoop, SQL/SQL Server, Python or
R (with associated scientific computing and statistical packages, Knime, Power BI, and Microsoft Excel)
customized to meet the company’s specific needs in order to feed relevant metrics into company specific
measurements, forecasting, and reporting templates. Analyze financial data and identify possible gaps on
revenue forecasts, what metrics could affect the company’s revenue such as unique operational costs,
fees and taxes, terminations and renewals rate, subscription, marketing costs, etc. and suggest any
changes to improve performance based on deep experience and knowledge of historic practices. Apply
knowledge and historical context of how app users have reacted to changes in the user interface over
time, such as the user experience of the product, updates on pricing or implications of marketing channel
mix change. Research issues about customer behavior/changes by analyzing relevant metrics and trends
in order to support enterprise-level initiatives. Study and compare long-term trends over time in user
behavior for changes as we introduce new features, experiences, and services to our customers. Perform
incremental analysis to safeguard against any potential cannibalistic impact of new features on existing
features, e.g. how a new value-added service for nonsubscribers could potentially impact their likelihood
to subscribe. Design questionnaires for users and support member market research by designing
questionnaires and analyzing the results. Analyze customers’ reactions to price changes. Utilize
knowledge of demographic impacts on behavior and conversion of users and predict how users react to a
variety of stimuli based on their age, gender, or country. Work with multicurrency products with a clear
understanding of the challenges and opportunities multicurrency products create for the company.
Domestic travel required 5-10% of the time to company offices. Position allows telecommuting from
anywhere in the U.S. Salary: $140,109 - $147,000 per year.

Minimum Requirements: Bachelor's degree or U.S. equivalent in Business Administration, Data Science, Mathematics, Statistics, or a related field plus 5 years of professional experience as Business Intelligence Analyst, Data Analyst, or any occupation/position/job title involving data wrangling and data analysis. Must also have experience with the following special skills: 5 years of professional experience providing data wrangling services to make data consumable for downstream purposes (including applications or analytics) to interpret themes from quantitative and qualitative data to deliver data-driven insights to optimize growth; 3 years of professional experience providing analytical insights within the consumer technology industry supporting product strategy including user growth, retention, engagement, pricing and CRM initiatives; 3 years of professional experience working with relational database systems (SQL Server) and distributed analytics technologies; 3 years of professional experience utilizing advanced Excel (including PivotTable, PivotGraphs, and macros) and visualization tools; 3 years of professional experience working cross functionally with product, finance, marketing, and CRM teams to drive key product and business decisions; 2 years of professional experience with experiment design and hypothesis testing; and 2 years of professional experience with time series and forecasting.

Please send resume to: Lauren.Lozano@Match.com. Please specify ad code MCLL.