Principal Data Analysts

Key Skills

Unix Operating system, Java Programming, Python Programming, SQL, Looker, Tableau, R Programming, SPARK Programming

Job Description

It takes powerful technology to connect our brands and partners with an audience of nearly 900 million. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world. Want in?

Job Description

A Lot About You

• You get people. You have a unique blend of skills in developing deep consumer insights and competitive intelligence through data that drives product innovation to create the right experiences for people’s daily lives that achieve our goals to acquire, engage, and retain them.
• You get data. You have a thirst for knowledge and insight. You thrive and strive to present data in ways that product, design, engineering, marketing, and executive teams understand and act upon. Your data is 100% accurate and credible. Your reports are always clear and actionable.
• You get growth. You are a consumer-focused, data-driven, and growth-enabling analyst who has supported Growth strategies, roadmaps, scrums, and final product rollouts, across the analytics/insights, acquisition/referrals, activation/onboarding, and adoption/retention loop.
• You get mobile/digital. You have significant industry experience – and a strong understanding of the mobile/digital ecosystem – from apps to advertising and analytics. You have successfully applied the latest mobile/digital tools to help drive reach, retention, and revenue growth.
• You get it done. You have successfully worked with product, design, engineering, marketing, and executive teams to understand requirements, translate business needs into data requests, develop methodologies/plans, analyze data, and present findings that are embraced/enacted.

Your Day

• Understand the marketplace trends and help answer revenue trends
• Analyze supply as well as demand patterns and find revenue opportunities, explain model behaviors, suggest improvements etc.
• Gain insights on what drives performance in terms of reach and revenue growth
• Build dashboards and reports that provide analysis and commentary, explaining product, sales, and business trends for Executive reporting
• Work closely with product and inform and update stakeholders on product performance, plans, and progress towards metrics
• Define data testing plans and create methodologies that help teams to iterate fast and release new features for testing and, if successful, rollout to all users globally
• Generate and go deep on consumer insights and competitive intelligence to help teams drive product innovation and iteration
• Build strong partnerships with product, sales, engineering, and marketing teams and enable them to launch new Growth initiatives for testing/iteration
• Provide feedback to product, sales and engineering teams on impact of product launches: target launch metrics, A|B testing, post-launch metrics
• Investigate data and monitor data quality – partner closely with and provide requirements to the Data Engineering teams that can be clearly acted upon
• Frame business problems into questions that can be answered through data analysis, and translate business needs into requirements

You Must Have

• 10 + years of professional experience
• BS/MS in highly-quantitative field (Analytics, Computer Science, Mathematics) is preferred
• Data analysis, generating insights for consumer-focused products
• B2B or advertising experience is highly desirable
• Answer complex business questions via SQL queries to enable business and product owners to make critical decisions.
• Experience with scripting programming languages such as Python/R is highly desirable
• Familiarity with Unix/Linux environment highly recommended
• Proficiency in Tableau and/or Looker
• Perform deep-dive analysis across all areas of our business to drive growth strategies.
• Drive understanding of our users and their interaction with our products, through in-depth analyses of user interaction and engagement.
• Demonstrated use of analytics, metrics, and benchmarking to drive decisions
• Build strong partnerships across the organization, becoming a trusted partner by working with a cross functional group consisting of Product, Engineering, Science and Sales managers to drive data-based decisions.
• Team player in driving growth results combined with a positive attitude
• Strong work ethic and strong core values (honesty, integrity, creativity)
• Problem solver who never stops thinking about ways to improve