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Sr. Director, Data Analytics & Analytics Engineering

Bertelsmann
United Statesfull_timeVerifiedPosted 16 Jun 2025
💰 $120,000/yr($105,000/yr$120,000/yr)

About the role

 

Come As You Are

As the great Kurt Cobain* once said, “Come as you are.” BMG is committed to providing equal employment opportunities and we celebrate diversity in all forms. Equal opportunity runs deep in our core value of fairness and we are determined to create a truly inclusive work environment, where everyone can flourish. If you’re good at what you do, come as you are.

All applicants to BMG will receive equal treatment regardless of age, disability, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.

*BMG is the proud representative of Kurt Cobain’s publishing catalogue, including the 1992 single ‘Come As You Are’.

 

Sr. Director, Data Analytics & Analytics Engineering

Nashville, Tennessee

At BMG, we recognize the power of music and are dedicated to ensuring it thrives. We are a community of artists, songwriters, and partners, working together to create music and build lasting careers. Here, music creators find not just a business partner, but a trusted home where their work shapes culture and leaves a legacy. Together, we evolve and grow.

 

As Sr. Director of Data Analytics & Analytics Engineering, you will contribute to this mission by leading a team of Data Analysts and Analytics Engineers in the development, creation, maintenance, and delivery of business-wide, scalable data solutions, with a particular focus on the BMG Rights & Royalties Administration business. This includes compiling, analyzing, providing, and presenting data solutions – ideally self-service – to a diverse audience, both internally and externally (where applicable) on a routine basis to facilitate informed decision-making through novel data insights, compelling storytelling, and advanced data visualization.

 

What You’ll Be Doing.

Leading a team of high performing Data Analysts and Analytics Engineers in order to:

  • Develop scalable self-service reporting solutions and address diverse ad-hoc requests that transform our business.
  • Utilize data visualization to support decision-making, crafting compelling (Looker) dashboards for key business stakeholders.
  • Work with domain experts to develop and deploy business logic onto large and complex raw datasets.
  • Collaborate closely with our global Analytics team and international colleagues to foster a data-driven culture by proposing innovative initiatives and building actionable data products.
  • Interact with developers, data engineers and management to propose new technologies, processes and system improvements, and develop global data governance strategies.
  • Embed value adding technologies, including Gen/Agentic AI into new and existing workflows to enable our business to operate as efficiently as possible.

 

 

Must Haves.

  • Extensive experience in a related role (Bachelor’s or Master’s degree in a related field preferred), and proven leadership experience.
  • Experience in building and managing a high performing team of data analysts.
  • Profound experience of SQL based data analysis on large datasets.
  • Advanced knowledge of Python and common data analytics packages, such as: pandas, NumPy, Matplotlib, and/or Streamlit.
  • Experience managing self-service BI tools for large and diverse customer pools.
  • Proven ability to explore and quickly grasp new technologies, data models, and business processes.
  • Strong written and verbal communication skills, with the ability to effectively communicate with technical and non-technical audiences.
  • Impeccable project management skills, enabling the on-time and parallel delivery of high-quality, complex initiatives, ensuring customer and stakeholder satisfaction.

 

 

Nice-to-Haves.

  • Experience using the components present in our existing data analytics and product management stack (GCP, dbt, Looker, Git, Airflow, Docker, Jira, Con

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Company

Bertelsmann

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