At a Glance
- Tasks: Lead a team to transform operational data into actionable insights for performance improvements.
- Company: Join DS Smith Europe, a leader in sustainable packaging solutions.
- Benefits: Competitive salary, career development opportunities, and a collaborative work environment.
- Other info: Be part of a dynamic team focused on innovation and sustainability.
- Why this job: Shape the future of manufacturing analytics and drive long-term growth.
- Qualifications: Experience with AVEVA PI and strong stakeholder engagement skills.
The predicted salary is between 60000 - 80000 £ per year.
DS Smith Europe in Kemsley is looking for a Business Analytics Lead to transform operational data into actionable insights across their Paper Division. You will lead a skilled team of Data Engineers, focusing on the integration of operational technology with business platforms to drive performance improvements and optimize asset utilization.
The ideal candidate will have experience with AVEVA PI, data governance best practices, and a strong stakeholder engagement background. This is a unique opportunity to shape manufacturing analytics and influence long-term growth.
Manufacturing Data Analytics Lead employer: DS Smith Europe
DS Smith Europe in Kemsley offers an exceptional work environment for the Manufacturing Data Analytics Lead, where innovation meets collaboration. Employees benefit from a culture that prioritises professional growth, with opportunities to lead impactful projects and engage with cutting-edge technology. The company fosters a supportive atmosphere that values teamwork and encourages the development of skills essential for driving performance improvements in the Paper Division.
StudySmarter Expert Advice🤫
We think this is how you could land Manufacturing Data Analytics Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at DS Smith or similar companies. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Showcase your skills! Prepare a portfolio or case studies that highlight your experience with data analytics and operational technology. This will help you stand out and demonstrate your ability to drive performance improvements.
✨Tip Number 3
Be ready for the interview! Research DS Smith’s Paper Division and think about how your background aligns with their goals. Prepare some questions that show your interest in shaping manufacturing analytics.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Manufacturing Data Analytics Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data analytics and any relevant tools like AVEVA PI. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about transforming operational data into insights. We love seeing candidates who can connect their personal goals with our mission at StudySmarter.
Showcase Your Team Leadership Skills:Since this role involves leading a team, make sure to highlight your experience in managing and mentoring others. We’re looking for someone who can inspire and drive performance improvements, so share those stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us during the process!
How to prepare for a job interview at DS Smith Europe
✨Know Your Data Tools
Familiarise yourself with AVEVA PI and any other data analytics tools mentioned in the job description. Be ready to discuss how you've used these tools in past roles to drive performance improvements.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams in the past, particularly in a data-driven environment. Highlight your experience in guiding Data Engineers and how you’ve fostered collaboration to achieve business goals.
✨Understand Stakeholder Engagement
Think about your previous experiences working with stakeholders. Be prepared to share specific instances where you successfully engaged with different parties to gather insights or drive projects forward.
✨Emphasise Data Governance Knowledge
Brush up on data governance best practices and be ready to discuss how you’ve implemented these in your previous roles. This will show that you understand the importance of data integrity and compliance in manufacturing analytics.
