At a Glance
- Tasks: Deliver impactful data consultancy projects and generate insights for sustainable mobility solutions.
- Company: Join Michelin Connected Fleet, a leader in sustainable mobility with a diverse and inclusive culture.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Embrace a dynamic work environment with a focus on work-life balance and team development.
- Why this job: Make a real difference in sustainability while working with cutting-edge data technologies.
- Qualifications: 5+ years in data analytics, strong programming skills, and a passion for innovation.
The predicted salary is between 50000 - 60000 € per year.
Location: Hybrid: 3 days in the office
Contract: Permanent
At MICHELIN Connected Fleet, a division of the Michelin Group, we specialise in connected fleet management services and solutions. We know our planet is at risk and we urgently need to find innovative ways to protect it. Our dream is rooted in a single purpose: by 2050, Michelin will be recognised as a critical innovation leader that helped humanity conquer new frontiers. At MICHELIN Connected Fleet, agility is not a word - it’s a lifestyle. We believe in an inclusive working environment, building teams with a variety of backgrounds, skills, views and opinions.
As an enthusiastic and analytically strong Data Consultant, you will work on high-impact customer and internal data projects. In this role, you will deliver end-to-end data consultancy assignments, applying advanced analytics, data modelling and cloud technologies to generate meaningful insights for our customers and support business growth.
You will work closely with Customer Success, Sales, Product and Data Science teams, translating complex data into clear, actionable recommendations. Your work will directly support customers in improving fleet performance and accelerating their transition toward more sustainable mobility solutions, including electric vehicles.
Delivering data consultancy projects:
- Owning the definition, development and delivery of bespoke customer data projects
- Performing advanced operational and financial analyses to identify, size and prioritise performance improvement opportunities
- Building data-driven dashboards, analytics solutions and algorithms for customer and internal use
- Enhancing existing automated reporting and data visualisation solutions
- Advising customers on best practices for integrating MICHELIN Connected Fleet data into their own BI and analytics tools
Supporting commercial and product growth:
- Providing data analysis and insights to support sales opportunities, tenders and business development activities
- Contributing customer and data-driven feedback to support continuous product improvement
- Identifying opportunities where data can enhance customer value and drive innovation
Driving data understanding and quality:
- Supporting the development of data literacy across Customer Success and the wider organisation
- Ensuring accuracy, consistency and robustness in data models and analytical outputs
Requirements:
- 5+ years’ experience in a data, analytics or digital consultancy environment
- Strong academic background, ideally including a University degree (STEM or quantitative discipline)
- Strong foundations in mathematics and analytical reasoning
- Strong hands-on experience with programming & Analytics: Python, SQL, Scikit-learn, TensorFlow
- Data & Cloud: AWS (Athena, S3, Redshift), data warehousing, ETL pipelines
- Visualisation & Tools: Jupyter, Visual Studio Code, Microsoft Excel, dashboards and reporting solutions
- Linux/Ubuntu, Git/Bitbucket, Jira, Confluence
- Familiarity with JavaScript, jQuery and Microsoft .NET technologies is advantageous
- Strong understanding of statistics fundamentals (e.g. hypothesis testing, regression, modelling techniques)
- High attention to detail, accuracy and data integrity
Work-life balance is important to us at Michelin Connected Fleet, so we offer our teams as much flexibility as possible in line with the needs of their role. We trust our teams to know how they work best, combining remote and collaborative working, with a flexible approach to hours.
BI Consultant/Data Analyst in Aberford employer: MICHELIN Connected Fleet
At MICHELIN Connected Fleet, we pride ourselves on being an exceptional employer that champions innovation and sustainability in a collaborative and inclusive environment. Our commitment to employee growth is evident through our diverse development programmes, while our hybrid work model ensures a healthy work-life balance, allowing you to thrive both personally and professionally. Join us in making a meaningful impact on the future of mobility as we work together towards a greener planet.
StudySmarter Expert Advice🤫
We think this is how you could land BI Consultant/Data Analyst in Aberford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at MICHELIN Connected Fleet. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, dashboards, and any cool analytics solutions you've built. This is your chance to shine and demonstrate how you can add value to the team.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding of the company’s mission. Be ready to discuss how your experience aligns with their goals in sustainable mobility and data-driven decision-making.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the MICHELIN Connected Fleet family.
We think you need these skills to ace BI Consultant/Data Analyst in Aberford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the BI Consultant/Data Analyst role. Highlight your relevant experience and skills, especially in data analytics and consultancy. We want to see how your background aligns with our mission at MICHELIN Connected Fleet!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and sustainability. Share specific examples of how you've used data to drive insights and improvements in previous roles. We love enthusiasm!
Showcase Your Technical Skills:Don’t forget to highlight your technical skills in programming, data warehousing, and visualisation tools. Mention your hands-on experience with Python, SQL, and AWS. We’re looking for someone who can hit the ground running, so make it clear you’ve got the chops!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates. Plus, it’s super easy – just a few clicks and you’re on your way!
How to prepare for a job interview at MICHELIN Connected Fleet
✨Know Your Data Tools
Make sure you brush up on your skills with Python, SQL, and any other tools mentioned in the job description. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience and understanding of data analytics.
✨Understand the Company’s Mission
Familiarise yourself with MICHELIN Connected Fleet's goals, especially their focus on sustainable mobility. Being able to articulate how your role as a Data Consultant aligns with their mission will demonstrate your genuine interest in the company and its values.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems using data. Think about how you would approach a project from start to finish, including defining the problem, analysing data, and presenting your findings. Practising these scenarios can help you feel more confident during the interview.
✨Showcase Your Communication Skills
As a Data Consultant, you'll need to translate complex data into actionable insights. Prepare examples of how you've effectively communicated technical information to non-technical stakeholders in the past. This will highlight your ability to work closely with teams like Customer Success and Sales.
