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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, supportive 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.
£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
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:in (m/w/d) employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Engineer:in (m/w/d)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, dbt models, and Power BI dashboards. We want to see what you can do, so make it easy for potential employers to be impressed!
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios. We suggest practising how you’d approach data transformation and insight generation. Being ready to discuss your thought process can really set you apart.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote Engineer:in (m/w/d)
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 your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the Analytics Engineer role and how your background makes you a perfect fit. Keep it engaging and personal – we love to see your personality!
Showcase Your Data Skills: In your application, include specific examples of how you've prepared data for analysis or built data models. We’re looking for someone who can demonstrate their technical prowess, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from our team!
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 transformed data into actionable insights and how that has supported decision-making in previous roles.
✨Ask Insightful Questions
Think of questions that show your interest in the company's data platform evolution. Ask about their current challenges or future goals regarding data analytics, which will demonstrate your enthusiasm for the role.
✨Be Ready for Practical Tests
Since this role involves hands-on work with data, be prepared for potential practical assessments. Brush up on writing efficient SQL queries and building data models, as they might ask you to demonstrate your skills during the interview.