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Data Scientist - Marketing Analytics

Data Scientist - Marketing Analytics
New York, US
115,000 - 181,000
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Job Description

Are you a bit of a guitar hero? A karaoke king or queen? Well read on, rockstar. Read on.

Spotify is looking for an excellent candidate to join the grammy-nominated Marketing and Consumer Insights (MCI) squad. You will help Spotify’s Marketing organization build a globally loved brand and bring the next generation of fans to Spotify.

This role will provide analytical support for our global and local marketing teams, to ensure efforts are conducted in the most impactful way possible and, ultimately, improving marketing investment outcomes for Spotify. Success will require gaining a strong understanding of Spotify’s Marketing strategy, providing clear and concise insights that drive impact, and developing a trusting relationship with marketing leaders.

The role reports into the Associate Director of Freemium Marketing Analytics and involves lots of fun cross-functional collaboration. You’ll also have the opportunity to use Spotify’s world-class measurement tools and collaborate with a global community of hundreds of data scientists.

What you'll do

  • Perform analyses on large sets of data to extract insights that will guide our global marketing investments
  • Provide annual forecasting support, evaluating investment effectiveness based on expected results
  • Develop measurement approaches (both novel and proven) to evaluate marketing impact across a variety of metrics such as brand health, social media and product metrics
  • Run experimentation initiatives; design test plans, obtain cross-functional alignment, complete robust analysis, and deliver practical insights
  • Build, validate and deploy media mix models, econometric modeling and attribution model solutions as needed to help up-level our marketing measurement
  • Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and presentations
  • Collaborate with sister analytics teams at Spotify to use shared platforms, best practices, insights and innovations

Who you are

  • Intellectually curious, open-minded, and enjoy working in a fast changing environment
  • A skilled communicator, who focuses just as much on the delivery and the “so what” of your insights, as you do on the technical craft of extracting them
  • Experienced in taking vague questions and crystallizing them into impactful experiments, analysis or models
  • You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable
  • 5+ years of experience in a marketing analytics and/or data science role
  • Expert analytical skills, including analysis and modeling of big data using SQL, Python and/or R, statistics, A/B testing, and experimental design required
  • Strong understanding of digital media strategy and the ever evolving attribution landscape; Performance marketing experience preferred
  • Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

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