At a Glance
- Tasks: Automate business processes and create insightful Power BI dashboards.
- Company: Leading transport management service provider in the UK.
- Benefits: Competitive salary, pension, health programme, and on-site parking.
- Other info: Inclusive workplace with opportunities for personal and professional growth.
- Why this job: Make a real impact by turning ideas into practical digital solutions.
- Qualifications: Experience with Power Automate, Power BI, and SQL; strong communication skills.
The predicted salary is between 40000 - 45000 £ per year.
Knowles Fleet is one of the UK's leading transport management service providers, and we are looking for a Power Platform & BI Automation Specialist to join our team in Dedham. In this hands-on role, you will take ownership of automating business processes and delivering insightful Power BI dashboards that help drive smarter decisions. You will work across departments to identify inefficiencies, design automation workflows, and build reporting solutions using the Microsoft Power Platform — primarily Power Automate and Power BI. This is an excellent opportunity for someone who enjoys turning ideas into practical, reliable digital solutions and wants to make a real impact across the business.
Responsibilities
- Build, test, and maintain Power Automate workflows to streamline internal processes.
- Design and manage Power BI dashboards and data models to deliver clear business insights.
- Integrate data across Microsoft 365, SQL, and Sage.
- Review and improve existing workflows to identify automation opportunities.
- Develop scalable and secure solutions that comply with IT governance standards.
- Support users with training, documentation, and issue resolution.
- Stay up to date with emerging Power Platform and automation technologies.
Essential Skills
- Experienced with Microsoft Power Automate and Power BI.
- Confident working independently and taking ownership of projects.
- A strong communicator who can translate business needs into technical solutions.
- Proactive, detail-oriented, and passionate about automation and process improvement.
- Experience with SQL.
- Experience working on digital transformation or automation projects.
Working hours
Monday to Thursday 8.30am to 5.30pm and Fridays from 8.30am to 4.30pm.
We are committed to fostering an inclusive and diverse workplace where everyone is valued and respected. We welcome applications from all backgrounds and actively encourage diversity.
Job Type: Fixed term contract
Contract length: 12 months
Pay: £40,000.00-£45,000.00 per year
Benefits: Company pension, Health & wellbeing programme, On-site parking
Work Location: In person
Power Platform employer: Knowles Fleet
At Knowles Fleet, we pride ourselves on being a leading transport management service provider in the UK, offering a dynamic work environment in Dedham where innovation and collaboration thrive. As a Power Platform & BI Automation Specialist, you'll enjoy a supportive culture that values diversity and encourages professional growth, alongside benefits such as a company pension and health & wellbeing programmes. Join us to make a meaningful impact by transforming business processes and delivering insightful solutions that drive smarter decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Power Platform
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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.
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We think you need these skills to ace Power Platform
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Knowles Fleet, 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 Knowles Fleet, 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 Knowles Fleet’s attention and show the tangible impact of your work.
How to prepare for a job interview at Knowles Fleet
✨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 Knowles Fleet.
✨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 Knowles Fleet.
✨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 Knowles Fleet.
