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.

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Senior Analyst, Product Analytics (Match Group Americas, LLC (f/k/a Match LLC), Dallas, TX)

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