Dieses Stellenangebot ist nicht mehr verfügbar
Über
We're driven by a shared mission: to spark connections that transform lives. From behavioral science to machine learning, we apply deep thinking and innovative approaches to the complex dynamics of human connection.
Team Overview Match Group’s Analytics Team is looking for a Manager, Data Science with expertise in Marketing Analytics. Our analytics team serves the entire MG portfolio, acting as a center of excellence to standardize how we measure marketing performance across all our global brands, including industry leading names like Tinder and Hinge. We develop a deep understanding of the business and its data and establish close working relationships with all teams—including Product, Marketing, Engineering, and Finance—so that we can provide recommendations and make proposals regarding prioritization of initiatives, marketing investments, A/B tests, and company performance.
Responsibilities
Master and be responsible for analyzing marketing responsiveness and business performance.
Build industry leading models to better understand the impact of our marketing investments and strategy.
Find the “story” in the data and communicate insights and opportunities with executives and other internal teams.
Perform ongoing ad‑hoc analyses to evaluate the efficiency of our marketing spend, build reporting infrastructure, and assist in making budgeting recommendations to optimize growth.
Integrate captured event data with other customer data sources, such as surveys, ad publishers, and app store data.
Support reporting and business intelligence needs of the entire Marketing team.
Qualifications
5+ years of relevant experience in analytics or data science.
Experience building Marketing Mix Models (MMM) and other marketing measurement techniques.
Ability to think objectively and interpret meaningful themes from quantitative and qualitative data.
Ability to build constructive and effective relationships with a broad and diverse group of business partners.
Ability to execute complex analytics projects where you have to determine salient questions in a complex ecosystem and present action‑oriented conclusions.
Proficiency with SQL required.
Strong coding capabilities, preferably in Python.
Familiarity with BI concepts and tools, including data pipeline orchestration and dashboard creation.
Knowledge of statistics, specifically experimental design and analysis.
Proficiency in Microsoft Excel and Microsoft PowerPoint (or equivalents).
Familiarity with common marketing KPIs, metrics, and growth experiments.
Benefits
Mind & Body
– Medical, mental health, and wellness benefits to support your overall health and well‑being.
Financial Wellness
– Competitive compensation, 100% employer match on 401(k) contributions up to 10% (cap at $10,000), and an employee stock purchase program.
Unplug
– Generous PTO and 14 paid holidays.
Career
– Annual training allowance for professional development and ERG membership opportunities and events.
Family
– 20 weeks of 100% paid parental leave, fertility, adoption, and child‑care resources, plus pet insurance and discounts.
Company Gatherings
– We host fun happy hours and company events to build a sense of connection and belonging.
Equal Employment Opportunity We are proud to be an equal‑opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period.
If you require a reasonable accommodation to participate in the hiring process—such as during pre‑employment testing or interviews—please indicate this by selecting “Yes” in the accommodation request field. We’ll reach out to discuss your needs if you’re selected for the interview stage.
When it comes to dating, the connection starts online, but the real magic happens once you meet in real life. We think the same is true for creating the best platforms, so we work together IRL in our Vancouver office three days a week.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.