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- Tasks: Transform raw data into structured models for insightful analysis using dbt and Snowflake.
- Company: Join a leading media organisation with a hybrid work model in London.
- Benefits: Enjoy 28 vacation days, professional development, and a supportive work environment.
- Why this job: Make an impact by enhancing data solutions and collaborating with diverse teams.
- Qualifications: Strong SQL skills, experience with analytics tools, and familiarity with Python and cloud services.
- Other info: Dynamic role with opportunities for growth in the exciting media industry.
The predicted salary is between 28800 - 48000 £ per year.
A leading media organization is seeking an Analytics Engineer in London with a hybrid model. You will turn raw data into structured models for analysis, using tools like dbt and Snowflake. This hands-on role requires collaboration with teams to enhance data solutions.
Ideal candidates have strong SQL and practical experience in analytics tools, along with familiarity in Python and cloud services.
Enjoy a range of benefits including 28 vacation days and professional development access.
Analytics Engineer — Data Enablement (Hybrid London) employer: Bauer Media Group Heinrich Bauer Verlag KG
Contact Detail:
Bauer Media Group Heinrich Bauer Verlag KG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer — Data Enablement (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and analytics projects. This gives us a tangible way to see what you can do beyond the application.
✨Tip Number 3
Prepare for the interview by brushing up on SQL and analytics tools. We love seeing candidates who can talk about their hands-on experience with dbt, Snowflake, and Python.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Analytics Engineer — Data Enablement (Hybrid London)
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL in real-world scenarios, so don’t hold back on those examples!
Talk About Your Tools: Mention your experience with dbt, Snowflake, and any other analytics tools you’ve worked with. We love seeing how you’ve turned raw data into structured models, so share those success stories!
Collaboration is Key: Since this role involves working closely with teams, let us know about your collaborative experiences. Share how you’ve partnered with others to enhance data solutions – we’re all about teamwork!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and get you into our system quickly. We can’t wait to hear from you!
How to prepare for a job interview at Bauer Media Group Heinrich Bauer Verlag KG
✨Know Your Tools Inside Out
Make sure you’re well-versed in dbt, Snowflake, and SQL. Brush up on your practical experience with these tools, as you’ll likely be asked to demonstrate your knowledge during the interview. Prepare examples of how you've used them in past projects.
✨Showcase Your Collaboration Skills
Since this role involves working closely with teams, be ready to discuss your experience in collaborative environments. Think of specific instances where you’ve worked with others to enhance data solutions and how you contributed to the team’s success.
✨Prepare for Technical Questions
Expect technical questions that test your analytical skills and problem-solving abilities. Practice common SQL queries and Python scenarios that could come up. Being able to think on your feet will impress your interviewers.
✨Highlight Your Adaptability
With a hybrid work model, adaptability is key. Share experiences where you successfully navigated changes or challenges in your work environment. This will show that you can thrive in a dynamic setting, which is crucial for this role.
