Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Scientist - Business Analytics role.
Rezi rewrites your resume against Spotify's job description. Free.
Tailor your resume to this Data Scientist - Business Analytics role.
Rezi rewrites your resume against Spotify's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist - Business Analytics posting at Spotify — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist - Business Analytics posting at Spotify — free, in seconds.
About the Role
Join the Business Analytics team at Spotify to tackle strategic questions, shape business trajectory, and improve user experiences. This role involves using data analysis, experimentation, and statistical modeling to launch new initiatives and product features, assess business health, and provide actionable recommendations to senior leadership.
Responsibilities
- Develop data-driven strategies to support the growth of Spotify’s active users and subscribers
- Create and communicate impactful findings and recommendations that improve the Premium product
- Model and forecast the impact of new business initiatives
- Work closely with business partners to understand the changes they are driving and help them discover new opportunities for growth
- Analyze experiments (A/B tests; quasi-experiments) to measure the impact of new features and go-to-market initiatives
- Present findings to senior leaders, influencing the course of our business
Requirements
- 5+ years of professional experience in data science or analytics, ideally at a consumer tech company or top-tier consulting firm
- Fluent in SQL and Python or R
- Strong grasp of statistical methods and causal inference
- Direct experience with product analytics or experimentation is a plus
- Enjoy partnering with a range of cross-functional stakeholders and working on varied projects involving different products and problem spaces
- Possess a strategic mindset and an eye for cleanly extracting the “so what” from complex, technical analyses
- Excellent communicator adept at presenting to senior leadership and audiences of varying levels of technical knowledge
- Comfortable working through ambiguous, complex problems
- Hold at least a Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related quantitative field
Skills
- SQL
- Python
- R
- Statistical Methods
- Causal Inference
- Product Analytics
- Experimentation
- Data Analysis
- Statistical Modeling
Location
- London
Work Type
- Hybrid
Experience Level
- 5+ years
Education Level
- Bachelor's degree in Economics, Mathematics, Statistics, Computer Science, or a related quantitative field
About the Company
- Spotify is a global leader in audio streaming, providing access to some of the world's richest datasets.
- Our mission is to shape how the world listens, discovers, and connects through audio.
Equal Opportunity
- Spotify is an equal opportunity employer.
- We welcome individuals from all backgrounds, valuing diversity and inclusion.
- We are committed to making our recruitment process accessible and provide reasonable accommodations upon request.