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- Tasks: Transform data into actionable insights and create impactful dashboards.
- Company: Join a leading OEM client in a dynamic environment.
- Benefits: Competitive pay rate of £29.64 per hour with flexible working options.
- Why this job: Make a real difference by improving data processes and reporting.
- Qualifications: Experience with Tableau, SQL, and Power Apps is essential.
- Other info: Maternity cover contract until March 2027 with great career growth potential.
The predicted salary is between 60000 - 70000 £ per year.
Our OEM Client based in Gaydon is searching for a Data Science / Data Mining Specialist to join their team, Inside IR35. This is a maternity cover contract position with a proposed end date of 26th March 2027.
Key Accountabilities and Responsibilities
- Engage with stakeholders and management to identify opportunities, improvements and gaps in current reporting.
- Identify, clean and transform operational data to create actionable insights and dashboards.
- Automate data extraction and transformation processes.
- Identify, develop and maintain Power App solutions for gaps in current data capture.
- Undertake any other work as directed by their line manager in connection with their job as may be requested from time to time.
Key Interactions
- Manufacturing Engineering Platform Teams.
- Manufacturing Engineering Management.
- JLR Digital / data teams.
Essential Skills, Knowledge and Experience Required
Hard Skills
- Proven experience of developing dashboards and reporting capabilities with Tableau.
- Ability to visually display data in a meaningful way that helps the end user understand business performance and take appropriate actions.
- Understanding of data modelling and relational database structures.
- Experience using SQL to extract and transform data.
- Experience automating data extraction and transformation processes.
- Experience developing and maintaining Power Apps and Power Automate solutions.
- Possess a valid driving licence, required to travel to different UK sites when required.
Soft Skills
- Ability to work independently and proactively, taking full ownership and responsibility for own work; fully invested in achieving a successful result.
- You view things as a team rather than individual project level, considering the wider team needs.
- Strong interpersonal/communication skills, including ability to manage relationships and communicate effectively at all levels.
- Good influencing skills.
- Good problem-solving skills.
Desirable Skills, Knowledge and Experience Requested
Hard Skills
- Experience using the Enterprise Data Warehouse to extract, transform and load data.
- Experience with Python.
Education Required
Relevant Data apprenticeship / Degree or equivalent experience preferred.
Data Science / Data Mining Specialist in Stratford-upon-Avon employer: Futura Design
Contact Detail:
Futura Design Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science / Data Mining Specialist in Stratford-upon-Avon
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those connected to your target company. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or examples of dashboards you've created, bring them along to interviews. Visuals can speak louder than words and show exactly what you can do.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your SQL and data transformation processes. Being able to discuss your experience with real-life scenarios will impress the interviewers.
✨Tip Number 4
Apply through our website! We make it super easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Data Science / Data Mining Specialist in Stratford-upon-Avon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science / Data Mining Specialist role. Highlight your experience with Tableau, SQL, and Power Apps, as these are key skills we're looking for. Show us how your past work aligns with the responsibilities mentioned in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Mention specific projects or achievements that demonstrate your problem-solving skills and ability to work independently.
Showcase Your Soft Skills: While hard skills are crucial, don’t forget to highlight your soft skills too! We value strong communication and teamwork, so share examples of how you've effectively managed relationships and collaborated with others in your previous roles.
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 out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Futura Design
✨Know Your Tools Inside Out
Make sure you’re well-versed in Tableau, SQL, and Power Apps. Brush up on how to create dashboards and automate data processes, as these are key skills for the role. Be ready to discuss specific projects where you've used these tools effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data challenges in the past. Think about situations where you identified gaps in reporting or improved data capture processes. This will demonstrate your proactive approach and ability to think critically.
✨Engage with Stakeholders
Since the role involves interacting with various teams, be prepared to discuss how you’ve successfully communicated and collaborated with stakeholders before. Highlight your interpersonal skills and how you’ve managed relationships to achieve project goals.
✨Demonstrate Your Team Spirit
Emphasise your ability to work as part of a team rather than just focusing on individual tasks. Share experiences where you contributed to team success and considered the wider team needs, showing that you’re invested in collective outcomes.