Senior Manager, Analytics & Strategy

We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.
 

How we LEAD: 

We are looking for an experienced Senior Manager, Analytics & Strategy to lead high-impact analytical projects that drive UMG’s strategy across key business objectives, including label strategy, audience engagement, artist development and fan monetization. This role requires a strong blend of technical analytics expertise and strategic thinking, with the ability to translate complex datasets into clear, actionable insights that inform decision-making across UMG’s labels and local markets.

The ideal candidate is a self-motivated, collaborative thinker who is passionate about leveraging data to shape the future of the music industry, with a deep appreciation for creativity, analytical rigor, and consumer behaviour.

Success in this role requires deep hands-on analytics experience, exceptional attention to detail, and a proven track record of building scalable analytical frameworks that enable consistent, high-impact insights. The candidate should also bring strong stakeholder management skills and the ability to operate effectively in a fast-paced, matrixed environment. This role will oversee junior team member(s), providing mentorship, reviewing analyses, and guiding day-to-day execution to ensure high-quality outputs.

How you’ll CREATE:   

• Lead high-impact analytics projects end-to-end – from scoping and methodology design through data wrangling, analysis, visualization, and insight delivery – using compelling storytelling to enable strategic decision-making.
• Partner closely with stakeholders across labels, insights, and commercial teams to translate business questions into clear analytical frameworks and actionable insight outputs aligned with business objectives.
• Develop story-led presentations communicate clear, concise insights to both technical and non-technical audiences, including senior leadership.
• Build and maintain dashboards, automated reports, and BI tools to monitor audience behavior, content performance and commercial outcomes across platforms and markets.
• Analyze consumption trends across mulitple data sources (streaming, e-commerce, social media, physical sales and more) to uncover actionable insights.
• Navigate challenges associated with incomplete, fragmented, or unstructured data by applying creative, methodologically sound approaches to fill gaps and ensure analytical rigor.
• Explore new datasets, develop scalable analytical frameworks, and optimize data workflows (including automation where applicable) to drive efficiency and keep UMG at the forefront of data-driven innovation.
• Oversee junior team member(s), providing hands-on guidance on day-to-day analytical work, reviewing outputs and ensuring a high standard of rigor, accuracy and quality in all deliverables.

Bring your VIBE:

• 5+ years of professional experience in analytics or data science roles, ideally within entertainment, media, sports, e-commerce or a related consumer-facing industry.
• Experience managing or mentoring junior team members in analytics roles, ideally with 2+ years of people management experience
• Strong foundation in core analytics concepts, including trend analysis, forecasting, segmentation, and performance benchmarking.
• Strong technical skills:
  • Advanced SQL proficiency for data querying, manipulation, aggregation, and analysis, ideally within a large-scale data warehouse environment (experience with Google BigQuery a plus).
  • Advanced Excel skills, including data manipulation, complex formulas, pivot tables, and analytical modeling.
  • Experience working with large datasets from multiple sources (e.g., streaming, sales, e-commerce, audience, social media data).
  • Hands-on experience building and maintaining automated dashboards using tools such as Tableau or Looker.
  • Proven ability to create clear, compelling client-ready deliverables and presentations using Keynote or Microsoft PowerPoint.
  • Familiarity with scripting lan