At a Glance
- Tasks: Analyse customer behaviour and turn data into actionable insights across multiple channels.
- Company: Join a leading team behind the UK's biggest radio competitions.
- Benefits: Exciting opportunities for growth, modern analytics tools, and diverse team collaboration.
- Other info: Dynamic environment with exposure to various teams and innovative projects.
- Why this job: Make a real impact on how millions engage with competitions while shaping analytics strategies.
- Qualifications: Strong SQL skills and experience in data analytics or business intelligence.
The predicted salary is between 43731 - 53449 £ per year.
Our
Team: How We Enrich Everyday Life Behind some of the UK’s biggest radio competitions, including Make Me A Winner, sits a team dedicated to understanding customer behaviour and driving commercial growth.
Working within Consumer Competitions, you will help shape decisions that influence how millions of listeners engage with our competitions across radio, web, app and messaging channels.
The Difference You Will Make This is far more than a reporting role.
You will investigate customer behaviour, uncover opportunities for growth, influence strategy, and help evolve a growing analytics function.
You will work across multiple channels and stakeholder groups, turning data into commercial action and helping optimise customer journeys, engagement and revenue.
Why Join Us?
You will join during an exciting period of change as we continue to modernise our analytics capability.
There is genuine opportunity to influence how insights are created, communicated and used.
No two days are the same, and you will have broad exposure to product, marketing, content and commercial teams.
Your Role Analyse customer behaviour across SMS, web, app and digital channels.
Use SQL to interrogate large customer and transactional datasets.
Produce actionable insights and recommendations.
Build and maintain dashboards in Power BI, Tableau or similar tools.
Develop customer segmentation, retention and lifecycle analysis.
Evaluate tests, campaigns and pricing strategies.
Present findings clearly to technical and non‑technical stakeholders.
Support strategic decision making across Consumer Competitions.
The Skills You Will Bring Strong SQL experience.
Experience in Data Analytics, Insights or BI.
Dashboarding experience with Power BI, Tableau or similar.
Strong customer insight and behavioural analysis skills.
Excellent communication and stakeholder management.
Natural curiosity and commercially minded approach.
Desirable CRM or lifecycle marketing analytics.
Experience in gambling, fintech, insurance, comparison sites or consumer digital businesses.
Experimentation and A/B testing knowledge.
Working Pattern
Senior Data Analyst employer: Bauer Media Group Heinrich Bauer Verlag KG
Bauer Media Group offers an exciting opportunity for a Multimedia Reporter in the vibrant city of Bristol, where creativity and innovation thrive. With a strong commitment to employee growth, the company provides access to professional development and flexible working arrangements, fostering a supportive work culture that values collaboration and engagement. Join a dynamic team dedicated to delivering impactful journalism and be part of a company that champions local stories and community connection.
Contact Details:
Bauer Media Group Heinrich Bauer Verlag KG Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
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We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Bauer Media Group Heinrich Bauer Verlag KG
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
