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- Tasks: Prepare and transform data, build models, and deliver insights using Power BI.
- Company: Join a forward-thinking business focused on evolving their data platform.
- Benefits: Competitive pay of £500/day, hybrid work model, and contract flexibility.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Combine your passion for data engineering and analytics to drive impactful decisions.
- Qualifications: Strong experience with SQL, dbt, and Power BI required.
The predicted salary is between 130000 - 130000 £ per year.
£500/day (Outside IR35) | 6 Months | Hybrid (1–2 days per week in office)
We’re working with a business looking for an Analytics Engineer to support the evolution of their data platform. This role sits between data engineering and analytics, ideal for someone who enjoys both preparing data and generating insights.
Tech: SQL, dbt, Power BI (Azure a bonus, open to other clouds)
- Prepare and transform data for analysis
- Build and optimise data models (dbt)
- Write efficient SQL queries
- Deliver insights via Power BI
- Support data-driven decision making
- Help improve and mature the data platform
Requirements:
- Strong experience as an Analytics Engineer or similar
- Strong SQL, dbt, and Power BI experience
- Experience across both data engineering and analytics
If you enjoy both building and using data, this could be a great fit.
Remote engineer employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the lookout for a remote engineering role. You never know who might have the inside scoop on opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with SQL, dbt, and Power BI. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to their data platform.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios. Be ready to discuss how you've transformed data for analysis or delivered insights in previous roles. We want to see your thought process and problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Remote engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, dbt, and Power BI. We want to see how you've used these tools in previous roles, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data and how your skills can help evolve our data platform. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any cool projects that involved data engineering or analytics, make sure to mention them! We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Burns Sheehan
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, dbt, and Power BI skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Journey
Prepare to talk about your experience in both data engineering and analytics. Highlight how you've prepared and transformed data for analysis, and be ready to share examples of insights you've delivered that influenced decision-making.
✨Ask Insightful Questions
Think of questions that show your interest in the company's data platform evolution. Ask about their current challenges with data or how they envision the role of an Analytics Engineer contributing to their goals.
✨Demonstrate Your Problem-Solving Skills
Be prepared to tackle a practical problem during the interview. This could involve writing a SQL query or discussing how you would approach building a data model. Show your thought process and how you arrive at solutions.