At a Glance
- Tasks: Design and build analytics-ready data models for impactful decision-making.
- Company: Leading telecoms organisation with a high-performing data team.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement in a collaborative environment.
- Why this job: Join a dynamic team and shape the future of data analytics.
- Qualifications: Experience in analytics engineering and strong SQL skills required.
The predicted salary is between 49500 - 60500 £ per year.
- Analytics Engineer - 6 Months - Inside IR35 - London / Bristol
- Our client, a leading telecoms organisation in the search for an experienced
Analytics Engineer to join a high performing data and analytics team.
This role will focus on designing and building analytics-ready data models, enabling self-service reporting, and delivering trusted datasets that support strategic business decision-making across the organisation.
Key Responsibilities
- Design and develop scalable analytical data models and reporting datasets.
- Translate business requirements into robust, analytics-ready solutions.
- Build and optimise SQL-based transformations within cloud data platforms.
- Develop semantic models and data layers to support reporting and BI tools.
- Work closely with stakeholders to define business metrics and reporting requirements.
- Support the delivery of self-service analytics capabilities across the business.
- Required Experience
- Proven experience in an Analytics Engineer, Data Modeller or similar role.
- Strong SQL skills with experience building analytical data models.
- Experience working with cloud data platforms such as GCP/Big Query.
- Strong understanding of dimensional modelling, star schemas and data warehousing concepts.
- Experience developing reporting datasets and enabling self-service analytics.
- Ability to engage with business stakeholders and translate requirements into data solutions.
Desirable
- Experience with Looker, Look ML or similar semantic modelling tools.
- Experience with dbt and modern data stack technologies.
- Background within customer, consumer, commercial or telecoms analytics environments.
- Python scripting and automation experience.
- If the role aligns with your interest please apply with your updated CV
Analytics Engineer in London employer: Adecco Careers
Adecco is an excellent employer for those seeking a meaningful career as a Housing Enforcement Officer, offering a supportive work culture that prioritises equal opportunities and employee development. With a commitment to professional growth and a focus on community impact, employees benefit from comprehensive training and resources in a dynamic environment that values their contributions.
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 Adecco Careers 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 Adecco Careers.
✨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 Adecco Careers.
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 Adecco Careers, 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 Adecco Careers, 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 Adecco Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at Adecco Careers
✨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 Adecco Careers.
✨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 Adecco Careers.
✨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 Adecco Careers.
