At a Glance
- Tasks: Build and optimise data pipelines while collaborating with a dynamic team.
- Company: Rapidly growing global tech company focused on Data & AI.
- Benefits: Competitive daily rate, remote work, and a chance to shape data solutions.
- Other info: Exciting contract role with opportunities for growth and innovation.
- Why this job: Join a cutting-edge team and make a real impact in the data space.
- Qualifications: Experience with SQL, Python, and data modelling skills.
The predicted salary is between 63000 - 77000 £ per year.
I’m working with a rapidly growing global technology-led business that is investing heavily in its Data & AI function and wider data platform.
They’re now looking for an Analytics Engineer to join their data enablement team and help build scalable data products and improve their analytics capabilities.
The role:
- Build and optimise data pipelines and data products
- Design data models and support ELT processes
- Work closely with Data Analysts, Engineers and business stakeholders
- Translate business requirements into robust data solutions
- Contribute to code reviews, testing, observability and wider data initiatives
- Take ownership of projects with minimal oversight
Stack:
SQL | Python | GCP | dbt | Looker
Key Info:
- Remote - London based ideally
- Contract - 6-month initial engagement
- Outside IR35 - £600-800/day
Analytics Engineer - Contract | Outside IR35 in London employer: Oliver Bernard
At Oliver Bernard, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge technologies in a vibrant location. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer - Contract | Outside IR35 in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Oliver Bernard before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Oliver Bernard.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Oliver Bernard.
We think you need these skills to ace Analytics Engineer - Contract | Outside IR35 in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Oliver Bernard, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Oliver Bernard, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Oliver Bernard’s attention and show the tangible impact of your work.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Oliver Bernard.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Oliver Bernard.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Oliver Bernard.
