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- Tasks: Own and enhance data models while ensuring data quality across business units.
- Company: Leading UK advertising company with a focus on innovation.
- Benefits: Hybrid work model, strong pension scheme, healthcare, and generous holiday allowance.
- Why this job: Make a real impact by improving data quality and supporting diverse teams.
- Qualifications: Deep SQL skills and experience with Power BI required.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading advertising company in the UK is seeking a Senior Analytics Engineer to own and enhance the business's data models. The successful candidate will be responsible for data quality, data modeling, and supporting various business units.
Key qualifications include:
- Deep SQL skills
- Experience with Power BI
This role offers a hybrid work model, competitive benefits including a strong pension scheme, healthcare, and generous holiday allowance.
Senior Analytics Engineer: Trusted Data & BI Modelling employer: Bauer Media Outdoor UK
Contact Detail:
Bauer Media Outdoor UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer: Trusted Data & BI Modelling
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your SQL prowess and Power BI projects. This will help you stand out and demonstrate your expertise in data modelling.
✨Tip Number 3
Ace the interview by practising common questions related to analytics and data quality. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Analytics Engineer: Trusted Data & BI Modelling
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your deep SQL skills in your application. We want to see how you've used SQL to solve real-world problems, so don’t hold back on those examples!
Demonstrate Your Data Modelling Experience: When you’re writing your application, focus on your experience with data modelling. Share specific projects where you’ve enhanced data models and the impact it had on the business.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the key qualifications mentioned in the job description. We love seeing candidates who take the time to connect their experience with our needs.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Bauer Media Outdoor UK
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and data manipulation techniques, as these will likely come up. Practising with real-world scenarios can help you articulate your thought process during the interview.
✨Showcase Your Power BI Expertise
Since this role involves Power BI, be ready to demonstrate your experience with it. Bring examples of dashboards or reports you've created, and be prepared to explain how they added value to previous projects. This will show your practical knowledge and ability to translate data into insights.
✨Understand the Business Context
Research the company and its business units. Understanding their goals and challenges will allow you to tailor your answers and show how your skills can directly benefit them. This demonstrates not only your interest in the role but also your strategic thinking.
✨Prepare Questions That Matter
Interviews are a two-way street, so prepare thoughtful questions about the team dynamics, data quality initiatives, and how success is measured in this role. This shows that you're genuinely interested in contributing to the company's success and helps you assess if it's the right fit for you.