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- Aufgaben: Transform big data into strategic insights and create impactful dashboards for key stakeholders.
- Arbeitgeber: Join a dynamic team in the heart of Berlin, passionate about music and data.
- Mitarbeitervorteile: Enjoy flexible remote work, free BVG tickets, sports memberships, and ongoing training opportunities.
- Warum dieser Job: Be part of a collaborative culture that values innovation and supports your career growth.
- Gewünschte Qualifikationen: Degree in relevant fields with strong SQL and Python skills; experience in data analytics is essential.
- Andere Informationen: Prior music industry experience and knowledge of GCP or ML are a plus!
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
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 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.
#J-18808-Ljbffr
Senior Data Analyst (f/m/d) Arbeitgeber: Musikwoche
Kontaktperson:
Musikwoche HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Analyst (f/m/d)
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, like dbt and Looker. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have in the music industry, as it’s considered a plus. If you’ve worked on data projects related to music or entertainment, make sure to mention those during your discussions.
✨Tip Number 3
Prepare to discuss how you've used data visualization to influence decision-making in past roles. Be ready to share examples of dashboards you've created and how they impacted business outcomes.
✨Tip Number 4
Show your ability to work in a global and dynamic environment by sharing experiences where you collaborated with international teams. Emphasize your communication skills and how you’ve effectively presented findings to senior management.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Analyst (f/m/d)
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with data analytics, especially with large datasets. Mention specific projects where you utilized SQL and Python, as well as any relevant tools like Looker or Tableau.
Showcase Your Skills: Clearly outline your technical skills in your CV and cover letter. Include your proficiency in data visualization and any experience with GCP, dbt, or Git/Bitbucket, as these are valuable for the role.
Communicate Effectively: Since effective communication is key, provide examples of how you've presented findings to senior management or collaborated with stakeholders. This will demonstrate your ability to convey complex data insights clearly.
Tailor Your Application: Customize your application to reflect the company's values and culture. Mention your passion for the music industry if applicable, and express your enthusiasm for fostering a data-driven culture within the organization.
Wie du dich auf ein Vorstellungsgespräch bei Musikwoche vorbereitest
✨Showcase Your Data Skills
Be prepared to discuss your experience with big data processing and analytics. Highlight specific projects where you've utilized SQL, Python, or data visualization tools like Looker or Tableau to derive insights.
✨Demonstrate Your Strategic Mindset
During the interview, emphasize your ability to think strategically about data. Share examples of how you've transformed data into actionable business insights and how you can contribute to building operational KPIs.
✨Communicate Effectively
Practice presenting your findings clearly and confidently. Since you'll be communicating with senior management and various stakeholders, focus on how you can tailor your message to different audiences.
✨Foster Collaboration
Highlight your experience working in global teams and your ability to build relationships with stakeholders. Discuss how you can contribute to fostering a data-driven culture within the organization.
