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- Tasks: Design and optimise BI solutions to track KPIs and deliver insights for leadership.
- Company: Join Audible's innovative Content Analytics team in a dynamic environment.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and influence strategic business decisions.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: 7+ years in data analysis with tools like SQL, Tableau, and Python.
The predicted salary is between 60000 - 80000 ÂŁ per year.
As a Senior Business Intelligence Engineer within the Content Analytics team at Audible, you’ll serve as a data-driven decision enabler for our senior Content leadership team, as well as the analytics conduit for European Content teams. You’ll be responsible for designing, implementing, and optimizing the reporting processes that deliver critical KPIs and business insights across our organization. Working with loosely defined problems, you’ll transform complex data into clear, actionable narratives. Your deep expertise in the Content business (audiobooks, physical books, and/or other digital media) will help anticipate leadership questions before they’re asked. Your role will be pivotal in maintaining data governance standards while making insights readily accessible through efficient, self-service data solutions.
Responsibilities
- Design, implement, and optimize BI solutions that effectively track KPIs and provide insights for business reviews and executive reporting, and develop dashboards that enable self‑serve access to data, ensuring speed, reliability, and scalability.
- Break down high‑level business metrics into constituent components and leading indicators that provide actionable insights for leadership as part of monthly and quarterly business reviews.
- Be a proactive thought partner, anticipating leadership questions and developing analyses and visualizations that address emerging business needs.
- Automate the identification of key contributing dimensions to metric variance, enabling faster root cause analysis.
- Develop concise, impactful data visualizations that communicate complex trends and insights effectively to executive audiences.
- Bridge analyses with your knowledge of content businesses (including production, distribution, engagement), all while keeping your finger on the pulse of micro and macro industry trends in the book and digital media spaces.
- Develop clear documentation that bridges technical implementation with business context, enabling both technical and non‑technical stakeholders to understand reporting methodologies.
- Communicate findings and insights to stakeholders in a clear, concise, and actionable manner.
- Balance stakeholder requirements with technical constraints while maintaining a focus on long‑term solutions.
- Serve as a data governance advocate, ensuring consistency in metrics definitions and data quality.
- Partner with data scientists, engineers, product managers, and business leaders to align reporting with strategic objectives.
- Invest in stakeholder relationships that build trust and enable insights to influence business decision‑making.
- Serve as the analytics conduit for European Content teams, facilitating analyses and insights to the Global team.
Qualifications
- Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python.
- 7+ years equivalent relevant experience in a data driven/analytical role or 5+ years with an advanced/technical degree in Analytics, Business, Operations Research, Economics, Mathematics, Statistics, Engineering, Sciences (Political or Natural) or similar field.
- 2+ years of relevant Content‑related experience, ideally with audiobooks, physical books, and/or other digital media.
- Experience running projects across multiple functions with diverse stakeholder groups (cross‑functional, cross‑geo).
Senior Business Intelligence Engineer employer: Audible
Contact Detail:
Audible Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Business Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at Audible or similar companies. A friendly chat can open doors and give you insider info on what they’re really looking for.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of dashboards or reports, bring them along to interviews. Visuals can speak louder than words and demonstrate your expertise in transforming data into actionable insights.
✨Tip Number 3
Prepare for the unexpected! Anticipate questions about how you’d tackle real-world problems in the role. Think through scenarios where you can showcase your analytical prowess and ability to communicate complex trends clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the StudySmarter family.
We think you need these skills to ace Senior Business Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Business Intelligence Engineer. Highlight your experience with data analysis tools like SQL and Tableau, and showcase any relevant projects that demonstrate your ability to turn complex data into actionable insights.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the content business and how your skills can help us at Audible. Be specific about how you can anticipate leadership questions and provide valuable insights.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them in real-world scenarios. Provide examples of how you've designed BI solutions or automated processes to improve efficiency. We love seeing concrete results!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Audible
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in the data analysis tools mentioned in the job description, like Advanced Excel, SQL, Tableau, and Python. Be ready to discuss specific projects where you've used these tools to derive insights or solve problems.
✨Understand the Content Landscape
Brush up on your knowledge of the content business, especially audiobooks and digital media. Be prepared to talk about current trends and how they might impact decision-making within the company. This will show that you can anticipate leadership questions and provide valuable insights.
✨Prepare Actionable Narratives
Think about how you can transform complex data into clear, actionable narratives. Practice explaining your past analyses in a way that highlights the impact of your findings on business decisions. This will demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Showcase Your Stakeholder Management Skills
Be ready to discuss your experience working with diverse stakeholder groups. Highlight examples where you’ve built trust and collaborated across functions to align reporting with strategic objectives. This will illustrate your ability to balance stakeholder requirements with technical constraints.