At a Glance
- Tasks: Transform data into insightful dashboards and analytical datasets that drive business decisions.
- Company: Join Microlise, a leading tech company at the forefront of data-driven solutions.
- Benefits: Flexible working hours, private medical insurance, and 25 days holiday plus bank holidays.
- Other info: Great workplace culture with opportunities for professional development and employee well-being.
- Why this job: Make a real impact on high-profile projects in a progressive Data & AI environment.
- Qualifications: Experience in Analytics Engineering or Data Engineering with strong SQL skills.
The predicted salary is between 40000 - 50000 £ per year.
Are you passionate about turning data into meaningful insight? Do you thrive on building trusted dashboards, defining metrics, and shaping how businesses understand performance? We are looking for an Analytics Engineer to join us on a 12-month fixed term contract, playing a key role in delivering high-quality, governed analytics that drive real business decisions.
As an Analytics Engineer, you'll transform trusted data products into dashboards, KPIs and analytical datasets that power decision-making across the business. You'll work at the heart of our Data & AI platform, partnering with Data Engineers and business stakeholders to ensure our analytics are consistent, accurate, and truly meaningful. At Microlise, you'll be part of a business where data is central to everything we do - helping some of the UK's biggest brands make smarter, faster decisions. You'll have the autonomy to shape analytics that matter, while working within a progressive, product-led Data & AI environment.
This role is offered as a 12-month fixed term contract, with the opportunity to make a real impact on a high-profile transformation programme. This is an urgent opportunity, and we're keen to secure someone who can join us as soon as possible, so if you're ready for your next challenge, we'd love to hear from you.
What You'll Be Doing
- Designing and building dashboards, reports and analytical datasets
- Defining and implementing KPIs and metric logic aligned to business definitions
- Developing semantic layers and reusable reporting models
- Validating data accuracy, consistency and business meaning
- Collaborating with stakeholders to shape analytics-ready data structures
- Driving standardisation and reducing duplication of reporting logic across teams
- Ensuring outputs are trusted, governed and traceable
What We're Looking For
- Background in Analytics Engineering, BI Engineering, or Data Engineering
- Proven experience creating trusted analytics outputs from curated datasets
- Strong understanding of KPI definition, metrics and business logic
- Experience working with semantic or dimensional models
- Exposure to governed, production-focused data environments
Technical Skills:
- Advanced SQL
- KPI / metric design and governance
- Data modelling (dimensional / semantic)
- Data validation and quality assurance
- Understanding of data lineage and traceability
- Familiarity with BI tools (Power BI, Tableau, etc.)
- Python (desirable, not essential)
What Makes You Stand Out
- Strong attention to detail and analytical thinking
- Passion for data quality, accuracy, and consistency
- Ability to translate complex data into clear business insight
- Comfortable working with both technical teams and business stakeholders
- A governance-first mindset when building analytics solutions
Why Microlise?
When your groceries arrive at your door or you sign for your online parcel, one or more of our software, telematics or proof-of-purchase solutions has probably been used. Our solutions deliver value to many of the UK's leading grocery retailers and food logistics providers as well as to household names including JCB, Eddie Stobart, Carlsberg, Waitrose, and Royal Mail.
Proudly Midlands-based, Microlise has been operating for over thirty years, and recently became a Publicly Listed Company with shares trading on the London Stock Exchange. Our growing business is guided by our culture which drives the way we behave, the way we work, the way we connect with our customers, and the way we support and develop our people.
We believe in developing our staff and support our employees with their professional development goals. 37.5 hour week with flexible working opportunities. Access to our salary sacrifice EV Car Scheme - payments are made before tax and other contributions, so saving you money, whilst doing your bit for the environment!
Great Place to Work certified. We have been recognised by the global authority on workplace culture, so come be a part of our success! Private medical insurance with Vitality Health including rewards for members such as: Free Amazon Prime, Apple Watch, discounted gym membership and many more! 25 days holiday, excluding bank holidays, increasing with service. Invested in employee health and well-being with over 20 mental health first aiders in the business. Employee Assistance Programmes. Free Costco membership, 20% off EE mobile and line rental, and other local discounts. Great staff extras: Easter eggs, yearly BBQ, Christmas gifts and annual staff awards. Free Microlise Cresswell Racing Tickets, support British Superbikes. Executive Box at Motorpoint Arena Nottingham.
Recruitment Process
For successful candidates, interviews will take place whilst the advert is still live, via telephone and video conferencing; so don't delay getting your application in!
Recruitment Agencies
Whilst we make every effort to directly source candidates for our live roles, we do have a very small preferred supplier list on the occasion we may require additional support. We therefore do not accept speculative CVs and/or cold calls to our Recruitment Team or Hiring Managers.
Analytics Engineer (Fixed Term Contract) in Eastwood employer: Microlise
Microlise is an exceptional employer, offering a dynamic work culture that prioritises employee development and well-being. With a commitment to flexible working hours, comprehensive benefits including private medical insurance and a salary sacrifice EV Car Scheme, and a strong focus on mental health support, employees are empowered to thrive both personally and professionally. Located in the Midlands, Microlise's innovative environment fosters collaboration and creativity, making it an ideal place for those passionate about data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer (Fixed Term Contract) in Eastwood
✨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 Microlise 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 Microlise.
✨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 Microlise.
We think you need these skills to ace Analytics Engineer (Fixed Term Contract) in Eastwood
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Microlise, 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 Microlise, 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 Microlise’s attention and show the tangible impact of your work.
How to prepare for a job interview at Microlise
✨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 Microlise.
✨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 Microlise.
✨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 Microlise.
