Marketing Analytics Manager
Spotify
At Spotify, we’re focused on providing the right music for every moment. We’ve connected tens of millions of people to their favorite songs and created a service that people use to discover and share music they love. We’re currently in 55+ markets and growing fast!
As the Marketing Analytics Manager, you will be part of Spotify’s Analytics team and be responsible for guiding Spotify’s marketing decisions by crunching large data sets, analyzing the results, and gaining insight.We collect and analyze vast amounts of data on a daily basis to learn more and about Spotify: our consumers, behaviors, marketing activities, artist performance, advertisement effectiveness and much more. Through analyzing both internal and external data, the Marketing Analytics team is responsible for understanding the consumers, which in turn help guide our day-to-day marketing activities as well as our global marketing strategy.
Responsibilities:
- Understand Spotify’s consumers through both internal and external data analysis; helping to define how these findings should influence global marketing efforts
- Establish innovative strategies to understand and solve complex marketing problems: reach valuable data driven insights, through the discovery of patterns and trends; testing and evaluating various marketing mix models; formulating and designing data pipelines to monitor key metrics for the marketing teams
- Lead and develop a global analytics team; on a day-to-day basis, you will be leading the team, but also collaborating and participating hands-on in multiple projects
- You will work very closely with the CMO, and various leaders in the marketing organization; the team as a whole will be supporting the entire marketing org, while working closely with peers on the broader analytics team (Product Analytics, Tech Analytics, Content & Distribution Analytics, Ad sales Analytics)
Requirements:
- 7-10 years of professional experience in the field of analytics/marketing/consulting
- Marketing domain expertise: Hands-on experience from tactical marketing analytics (such as marketing mix and attribution modeling, campaign performance analysis, ROI estimates, life time value modeling) and consumer-oriented marketing analysis (segmentations, user survey, storytelling about consumers, brand positioning, etc.)
- Strong technical competence to perform advanced analytics: Coding skills (such as python,java,c), experience performing analysis with large datasets, analytics tools experience (SPSS, R, excel, SQL, HIVE, hadoop), experience from 3rd party marketing tools (such as Google Analytics, Mixpanel, Adobe Marketing Cloud)
- Experience with hands-on statistical modeling (such as regression modeling, a/b testing, significance testing etc), knowledge about machine learning (such as predictive modeling, decision trees, classification models, clustering techniques), knowledge about statistical research methods (such as conjoint survey models, segmentation survey methods, etc)
- Skilled at condensing analysis into actionable insights to inform business decisions within marketing, and influence / transform business performance; understand business models and high level strategy
- Experience managing a team: proven ability to build successful teams, while possessing a collaborative, nonhierarchical and humble leadership style
Full Time