At a Glance
- Tasks: Build and maintain data models for analytics and reporting in a fast-paced environment.
- Company: Join a dynamic, product-led business making waves in the data industry.
- Benefits: Competitive daily rate, hybrid work model, and a chance to enhance your skills.
- Other info: Exciting 6-month contract with excellent career growth opportunities.
- Why this job: Make a real impact by improving data quality and usability across the business.
- Qualifications: Strong dbt and SQL experience, with knowledge of BigQuery or Snowflake.
We're working with a fast-moving, product-led business looking for an Analytics Engineer to support their data team on an initial 6-month contract. This is a hands-on role sitting between data engineering and analytics - building clean, reliable data models that power reporting and decision-making across the business.
You'll be working closely with BI and engineering teams, owning dbt models end-to-end and helping improve data quality, performance, and overall usability.
What you'll be doing:
- Building and maintaining dbt models for analytics and reporting
- Developing well-structured data models (staging marts)
- Working with stakeholders to turn business requirements into scalable datasets
- Improving data quality, testing, and documentation
- Optimising performance across a modern cloud warehouse
What they're looking for:
- Strong dbt + SQL experience in production environments
- Experience working with BigQuery or Snowflake
- Solid understanding of data modelling / warehousing concepts
- Comfortable working in a collaborative, fast-paced environment
Contract: Outside IR35, 6-month contract, twice a week in central London, £500-£520 per day
Nice to have: exposure to BI tools (Tableau etc.), Python, or marketing data.
If you're interested, send your CV to RSG Plc is acting as an Employment Business in relation to this vacancy.
Analytics Engineer in London employer: Method-Resourcing
Join a dynamic and innovative company that values collaboration and creativity, offering an exciting opportunity for an Analytics Engineer in the heart of London. With a strong focus on employee growth, you will have access to hands-on projects that enhance your skills while working alongside talented professionals in a supportive hybrid work environment. Enjoy competitive daily rates and the chance to make a significant impact on data-driven decision-making within a fast-paced, product-led business.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer 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 Method-Resourcing 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 Method-Resourcing.
✨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 Method-Resourcing.
We think you need these skills to ace Analytics Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Method-Resourcing, 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 Method-Resourcing, 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 Method-Resourcing’s attention and show the tangible impact of your work.
How to prepare for a job interview at Method-Resourcing
✨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 Method-Resourcing.
✨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 Method-Resourcing.
✨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 Method-Resourcing.
