Auf einen Blick
- Aufgaben: Analyze big data, create dashboards, and support decision-making for various departments.
- Arbeitgeber: BMG is the fourth-largest music company globally, empowering artists in the digital era.
- Mitarbeitervorteile: Enjoy flexible remote work, a free BVG job ticket, and discounts for Urban Sports.
- Warum dieser Job: Shape the future of music analytics in a collaborative, diverse, and supportive environment.
- Gewünschte Qualifikationen: Degree in a related field with strong SQL and Python skills; experience in data analytics required.
- Andere Informationen: This is a maternity cover position expected to last until April 2026.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Founded in 2008, BMG has become the fourth-largest music company worldwide. Our success and competitive edge are rooted in our founding values of fairness, transparency, and service. Our mission is clear: to empower artists and songwriters to maximize the potential of their songs and recordings in the digital era.
BMG’s Global Data Analytics is our central data unit, spanning a close-knit international team of experienced Analytics Engineers, Data Analysts and Data Scientists across Germany, the US and the UK. We’re transforming how music works, enabling operational stakeholders to make data-driven decisions as well as driving strategic growth, based on a modern data stack.
We are currently seeking a motivated Senior Data Analyst (f/m/d) to join our headquarters in Berlin. This position is a maternity cover, initially expected to last until end of April 2026. As an experienced Data Analyst, you will collaborate with senior stakeholders of various departments to facilitate informed decision-making through novel data insights, compelling storytelling, and advanced data visualization. Join us in shaping the future of music analytics!
What you’ll be doing
- Process big data volumes, modelling and transforming data (using dbt) from centralized DWHs (Google BigQuery) and external/organizational databases to build strategic analyses and operational KPIs.
- Utilize data visualization to support decision-making, crafting compelling (Looker) dashboards for key business stakeholders (e.g. Investments, Artist & Repertoire, Marketing, Streaming Sales, Rights & Royalties, Operations).
- Develop scalable self-service reporting solutions and address diverse ad-hoc requests that transform our business.
- Collaborate closely with our global team and international colleagues to foster a data-driven culture by proposing innovative initiatives and building actionable data products.
What you bring
- Degree in Computer Science, Economics, Statistics, Mathematics, or a related field.
- Profound experience in data analytics, ideally with large datasets.
- Excellent SQL skills and good knowledge of Python.
- Proficiency in data visualization tools, such as Looker or Tableau.
- Broad understanding of data analysis methods and storytelling.
- Results-driven and analytical character, with a strategic mindset to derive business insights.
- Effective communication skills – confident in presenting findings to senior management.
- Ability to build relationships with stakeholders to understand business needs and data consumer needs.
- Capability to plan and implement projects independently.
- Comfortable working in a global, fast-paced and dynamic environment.
It’s also a plus if you have…
- Prior music industry experience.
- Experience with GCP, dbt and Git/Bitbucket.
- Knowledge of Jira and Confluence.
- Understanding of statistical methods and ML.
What we offer
- A modern office in the heart of Berlin and flexible options for remote work.
- Numerous benefits such as a free BVG job ticket, a reduced-price membership for Urban Sports, company bike leasing, discounts for Bertelsmann employees, among others.
- Ongoing training opportunities on our internal platforms BMG Campus and Bertelsmann University.
- Long-term career opportunities for all employees.
- A collaborative work environment with an open, appreciative community of people who all share the same passion for working with artists and songwriters.
- Our unique corporate culture based on strong values and mutual support that make us a great team.
This is us
BMG is committed to providing equal employment opportunities for all employees. We value diversity in all forms. Equal opportunity is deeply rooted in our core value of fairness, and we are committed to creating a truly inclusive work environment where everyone can thrive. If you’re good at what you do, come as you are! Whether you’re an experienced professional or just starting out, we welcome you to join our team.
All applicants to BMG are treated equally – regardless of age, disability, gender identity or expression, sexual orientation, marital status, pregnancy or parenthood, ethnic origin, color, nationality, religion or belief.
Unternehmen: BMG RIGHTS MANAGEMENT GmbH – Corporate
Land: Germany
Region: Berlin
Stadt: Berlin
Postleitzahl: 10117
Job ID: 276646
#J-18808-Ljbffr
Senior Data Analyst (f/m/d) Arbeitgeber: Bertelsmann

Kontaktperson:
Bertelsmann HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Analyst (f/m/d)
✨Tip Number 1
Familiarize yourself with the music industry and its data needs. Understanding how data analytics can impact areas like streaming sales and artist management will help you speak the same language as your future colleagues.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for processing large datasets. Consider working on personal projects or contributing to open-source projects that utilize these technologies to showcase your expertise.
✨Tip Number 3
Get comfortable with data visualization tools like Looker or Tableau. Create sample dashboards that tell a story with data, as this will demonstrate your ability to present insights effectively to stakeholders.
✨Tip Number 4
Network with professionals in the music and data analytics fields. Attend industry events or join online communities to connect with others who share your interests and may provide valuable insights or referrals.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Analyst (f/m/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Analyst position. Familiarize yourself with the tools mentioned, such as SQL, Python, Looker, and dbt.
Tailor Your CV: Customize your CV to highlight relevant experience in data analytics, particularly with large datasets. Emphasize your skills in SQL and data visualization, and include any experience related to the music industry if applicable.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and the music industry. Use storytelling to illustrate how your previous experiences align with BMG's mission and values, and express your enthusiasm for contributing to their data-driven culture.
Highlight Communication Skills: Since effective communication is crucial for this role, provide examples in your application that demonstrate your ability to present findings to senior management and collaborate with stakeholders. This will show that you can bridge the gap between data insights and business needs.
Wie du dich auf ein Vorstellungsgespräch bei Bertelsmann vorbereitest
✨Showcase Your Data Skills
Be prepared to discuss your experience with large datasets and demonstrate your SQL and Python skills. Bring examples of past projects where you utilized these tools to derive insights.
✨Master Data Visualization
Since the role emphasizes data visualization, familiarize yourself with Looker or Tableau. Prepare to present a sample dashboard or visualization that highlights your ability to tell a compelling story with data.
✨Understand the Music Industry
While not mandatory, having knowledge of the music industry can set you apart. Research BMG's position in the market and think about how data analytics can drive decisions in this sector.
✨Communicate Effectively
Practice articulating your findings clearly and confidently. Be ready to explain complex data concepts in simple terms, as you'll need to present to senior management and collaborate with various stakeholders.