Tinder brings people together. With tens of millions of users and a presence in every country on earth, our reach is expansive and rapidly growing. Tinder’s Business Analytics Team is looking for a Senior Data Analyst to empower teams across the business.

Our analytics team takes ownership of the decisions being made from our data – we develop a deep understanding of both 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, product launches, A/B tests, and company performance.

As an analyst, you will provide data-driven insights via ad-hoc analyses, presentations, and automated reports and dashboards. This role will require extensive experience with SQL, data wrangling, and statistics as well as ability to work in cross-functional teams to drive actionable insights. Experience with consumer mobile products preferred.

 Key Roles and Responsibilities:

• Master and own the analytical understanding of customer behavior and business performance across numerous aspects of our product
• Find the “story” in the data and communicate insights and opportunities with executive and other internal teams
• Conduct comprehensive analysis of growth, engagement, and revenue
• Integrate captured event data with other sources of customer data, such as surveys and app store data
• Support Tinder’s data needs by using SQL to query Amazon Redshift (and soon Apache Spark)

Skills Required:

• 5+ years of relevant experience
• 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 on complex analytics projects where you have to determine salient questions in a complex ecosystem and present action-oriented conclusions
• Proficiency with SQL required
• Scripting skills, preferably in Python. Strong Python/NumPy/PANDAS skills a plus
• Knowledge of statistics, specifically experimental design and analysis
• Proficiency in Microsoft Excel and Microsoft PowerPoint
• Familiarity with common KPIs, metrics, and growth experiments

As part of our team, you’ll enjoy:

• The hustle of a startup with the impact of a global business

• Tremendous opportunity to solve some of the industry’s most exciting problems

• Working with an extraordinary team of smart, creative, fun and highly motivated people

• Comprehensive health coverage, competitive salary, 401(k) match and meaningful equity

• Unlimited vacation and flexible working hours

• Daily catered lunches, an endless supply of refreshments, basketball court, fitness classes and social events

• Modern, uplifting work environment in an ideal location