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- Tasks: Lead the data function and develop a strategic data roadmap for the company.
- Company: Established UK engineering firm with a global presence in safety-critical applications.
- Benefits: Competitive salary, hands-on experience, and opportunity to shape data strategy.
- Why this job: Be a key player in transforming data capabilities and driving innovation.
- Qualifications: Experience in data leadership, SQL, Power BI, and data governance.
- Other info: Onsite role in Lancashire/Greater Manchester with strong career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
You will be joining a well-established UK engineering and manufacturing business with global reach. The organisation designs, manufactures and supplies high-quality industrial products used in safety-critical applications across energy, utilities and infrastructure sectors, serving customers in more than 60 countries. The company has a heritage of precision, engineering excellence and strong customer service, and is now investing significantly in its internal technology and data capability.
This is the first senior, internal data leadership hire, reporting into the IT Director and working alongside Strategic Delivery and IT Operations. You will take ownership of the company's data function and transition it from largely vendor-supported reporting to a governed, scalable, internal data capability. This role is ideal for someone who enjoys hands-on data work but also wants to shape strategy and standards.
What you’ll be doing:
- Lead the development and delivery of a data roadmap aligned with business goals
- Establish data governance practices, quality standards and access frameworks
- Build and scale BI and reporting, with primary tools like Power BI
- Collaborate with business stakeholders to define metrics, dashboards and KPIs
- Work closely with an external data vendor to transition knowledge and uplift internal capability
- Act as the internal authority on structured data, analytics and reporting needs
- Lay the foundations for future AI and advanced analytics initiatives
- Partner with IT Operations to ensure data platform stability and scale
Requirements:
- Experience in a senior data, analytics or BI leadership role
- Strong hands-on experience with SQL and Power BI (or equivalent BI tools)
- A background in structured data environments with real business impact
- Experience implementing data governance and best practices
- Comfort working with and managing external vendors on data delivery
- Ability to translate business needs into practical data solutions
- A grounded view on where AI fits into a data strategy without over-promising
- Confidence working on-site and engaging closely with cross-functional teams
This is a fully onsite position so applicants will ideally be in the Lancashire/Greater Manchester area. Visa sponsorship is not available at this time.
Data Lead in Burnley employer: Altech Group Ltd
Contact Detail:
Altech Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lead in Burnley
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its data initiatives. Understand their products and how your skills can help them transition to a more robust internal data capability. Tailor your responses to show how you can lead their data roadmap.
✨Tip Number 3
Showcase your hands-on experience with SQL and Power BI during interviews. Bring examples of past projects where you implemented data governance or improved reporting processes. This will demonstrate your technical credibility and practical approach.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Lead in Burnley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Lead. Highlight your experience with SQL, Power BI, and any data governance practices you've implemented. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can help us transition to a governed, scalable data capability. Be sure to mention your hands-on experience and strategic vision.
Showcase Your Achievements: When detailing your past roles, focus on specific achievements that demonstrate your impact in data leadership. We love numbers, so if you can quantify your successes, even better! This helps us see the real business impact you've made.
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’re considered for the role. Plus, it shows us you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Altech Group Ltd
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of SQL and Power BI. Be ready to discuss specific projects where you've used these tools to drive business impact. The interviewers will want to see how your hands-on experience translates into strategic thinking.
✨Showcase Your Leadership Skills
As this is a senior role, be prepared to talk about your experience in leading data initiatives. Share examples of how you've established data governance practices or built BI frameworks. Highlight your ability to collaborate with stakeholders and manage external vendors effectively.
✨Align with Business Goals
Understand the company's mission and how the data function can support it. Be ready to discuss how you would develop a data roadmap that aligns with their business objectives. This shows that you're not just a techie but also someone who thinks strategically.
✨Be Pragmatic and Realistic
When discussing AI and advanced analytics, keep your insights grounded. Avoid over-promising and instead focus on practical applications of AI within a data strategy. This will demonstrate your understanding of the balance between innovation and feasibility.
