Data Analyst at Spotify, Mumbai | CTC: ₹15-25 LPA*

Spotify India is looking for a Data Analyst as part of our Insights team, to help us out with the growing complexity of internal data analytics projects

About the Organization:

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.

Looking for similar opportunities, join Opportunity Cell on Instagram or Telegram here.

Responsibilities of the Candidate:

• Support the cross-functional team of strategy, marketing, BD, music and podcasts with their data analytics needs
• Create internal dashboards / datasets on content consumption and audiences, critical to Spotify’s growth in India
• Implement established experimentation techniques in close coordination with stakeholders
• Automate measurement and analyses at market level to increase efficiency of insights utilization across the business
• Analyze user behavior on Spotify to identify new growth areas by evaluating and forecasting their potential for growth impact
• Transform raw data into scalable, performant data models that would be consumed by data analysts and data scientists.
• Maintain a culture of rigor and data curiosity across the team by striving to make the cross-functional team as data-driven as possible

Must Check: Fully-Funded 5th Youth Leaders Program in Spain

Requirements:

• At least a Bachelor’s degree in Engineering, Statistics or a similar field
• At least 3 years of experience with mixed data skill sets and approaches (analytics tools and data science); experience with product focused data science for a consumer facing tech company preferred
• Strong analytical skills, including analysis /modeling, statistics, A/B testing, experimental design and automation
• Basic understanding of modeling techniques (e.g. regression models, clustering, classification, causal inference, etc)
• Strong SQL/Bigquery skills and intermediate programmatic expertise, in either of Python or R
• Proficiency in data principles, system and data architecture, and dimensional data modeling
• Experience with BI tools like Tableau/Looker
• You have the capacity and passion to translate business objectives into actionable analyses and results into business recommendations
• You’re an effective communicator
• Experience with growth marketing, app/web platforms and analytics
• A highly motivated and flexible individual with the ability to thrive in a dynamic environment and deliver quality outputs

How to Apply