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- Tasks: Enhance data capabilities and support decision-making through ETL processes and analytics.
- Company: Creative media agency in Greater London with a focus on innovation.
- Benefits: Competitive medical coverage, retirement plans, and professional growth opportunities.
- Why this job: Join a dynamic team and make an impact with your data skills.
- Qualifications: Skills in reporting, data engineering, and cloud computing technologies required.
- Other info: Exciting environment with plenty of room for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A creative media agency in Greater London seeks a Data & Business Intelligence professional to enhance data capabilities and support decision-making. The role involves setting up ETL processes and working with marketing data across platforms like Google BigQuery.
Candidates should have skills in reporting, data engineering, and cloud computing technologies.
Benefits include competitive medical coverage, retirement plans, and opportunities for professional growth.
Data & BI Engineer: Pipelines & Analytics employer: mSix & Partners
Contact Detail:
mSix & Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & BI Engineer: Pipelines & Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with data and BI. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL processes and any analytics projects you've worked on. This will give you an edge when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cloud computing technologies and reporting tools. Be ready to discuss how you've used these in past roles to drive decision-making.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find opportunities that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data & BI Engineer: Pipelines & Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with ETL processes and any relevant tools like Google BigQuery. We want to see how your skills in reporting and data engineering can enhance our data capabilities!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Data & BI Engineer role. We love seeing how you connect your past experiences to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at mSix & Partners
✨Know Your ETL Processes
Make sure you understand the ins and outs of ETL processes, especially how they apply to marketing data. Be ready to discuss your experience with setting up these processes and any challenges you've faced.
✨Familiarise Yourself with Google BigQuery
Since this role involves working with Google BigQuery, brush up on your knowledge of it. Prepare to talk about how you've used it in past projects and be ready to answer technical questions related to data querying and management.
✨Showcase Your Reporting Skills
Be prepared to demonstrate your reporting skills. Bring examples of reports you've created and explain how they supported decision-making. This will show that you can translate data into actionable insights.
✨Highlight Your Cloud Computing Experience
Cloud computing is a key part of this role, so make sure to highlight your experience with relevant technologies. Discuss any projects where you've leveraged cloud solutions to enhance data capabilities or improve efficiency.
