At a Glance
- Tasks: Lead digital transformation and data analytics projects to enhance business efficiency.
- Company: Join Snowdon Timber Products Ltd, a forward-thinking company with strong ties to Bangor University.
- Benefits: Enjoy a competitive salary, training budget, and potential for permanent employment.
- Other info: Collaborate with academics and gain valuable experience in a supportive culture.
- Why this job: Make a real impact by driving data-led decision making in a dynamic environment.
- Qualifications: Degree in data analytics or related field; coding skills in Python, R, or SQL preferred.
The predicted salary is between 39000 - 42000 £ per year.
This fixed‑term role is a 28‑month position based primarily at Snowdon Timber Products Ltd’s headquarters in Bangor, with support from the Albert Gubay Business School at Bangor University. The role focuses on designing, building and embedding scalable digital infrastructure, data capture and analytics capability across the organisation, leading a significant digital transformation that enhances commercial insight, operational efficiency and data‑driven decision making.
Responsibilities
- Lead the end‑to‑end delivery of the digital and data transformation project, including project governance, milestone tracking and technical documentation.
- Design and implement a scalable data architecture and analytics processes that support product selection, pricing, promotions and stock management.
- Develop, test and deploy analytics solutions that improve commercial insights and operational performance.
- Engage with stakeholders across the business to understand their data needs and translate requirements into practical solutions.
- Collaborate with Bangor University academics through structured supervision and mentoring.
- Build relationships with digital platform and technology providers.
- Support change management, training and knowledge transfer to embed a culture of data‑led decision making within the organization.
- Develop and maintain progress reports, adapt action plans, and ensure project deliverables meet quality standards.
- Contribute to the application for and management of relevant organisational accreditations and support a structured R&D pathway for new product development.
Qualifications & Training
- Undergraduate (or Merit postgraduate) degree in data analytics or a related field, or equivalent demonstrable skills/experience.
- Desirable: agile project‑management qualification, leadership or culture‑change qualification, and further qualifications in data analytics or infrastructure.
Experience & Knowledge
- Experience developing, delivering and implementing digital or analytics projects.
- Experience engaging people at all levels of an operation to gather information on project requirements.
- Experience supporting cultural change, ideally with regard to new technology adoption.
- Experience managing stakeholder relationships, producing reports for diverse audiences, and leading sizable projects with complex integration.
Skills & Abilities
- Strong coding skills in Python, R, SQL or similar.
- Expertise in data architecture, database management, cloud systems and user‑interface development.
- Analytical rigor and the ability to select appropriate methods and interpret results.
- Excellent communication and stakeholder engagement skills, including written and verbal communication in a wide variety of contexts.
- Agile, flexible approach with the ability to adapt to a dynamic trading environment.
- Strong team‑working, organisational and prioritisation skills, capable of meeting deadlines under pressure.
- Ability to link academic insights with practical proposals for change and to communicate complex ideas to non‑technical stakeholders.
Benefits
- Competitive salary of £39,000–£42,000 plus a £4,000 personal training budget.
- Two residential management training courses and the possibility of international development visits.
- Travel and subsistence budget for project activities.
- 28‑day holiday entitlement (inclusive of bank holidays).
- Potential discussion of a permanent role with Snowdon Timber Products at the end of the term, conditional on performance and funding.
- Opportunities for performance‑related bonuses tied to commercial impacts.
Equal Opportunities
Snowdon Timber Products Ltd and the Albert Gubay Business School are committed to equality and diversity. All applications are considered without regard to sex, gender identity, ethnicity, disability, sexual orientation, religious or cultural background, or age. The University also promotes the use of Welsh and complies with Welsh Language Standards.
Data Analyst and Digital Infrastructure Specialist - Knowledge Transfer Partnership (KTP) in Bangor employer: School of Computer Science and Engineering, Bangor University
Contact Detail:
School of Computer Science and Engineering, Bangor University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst and Digital Infrastructure Specialist - Knowledge Transfer Partnership (KTP) in Bangor
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Snowdon Timber Products or Bangor University. A friendly chat can open doors and give you insights that might just land you the job.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project showcase that highlights your coding skills in Python, R, or SQL. When you get the chance to chat with potential employers, let them see what you can do!
✨Tip Number 3
Be ready to discuss your experience with digital transformation projects. Think of specific examples where you've led change or improved processes. This will show you're not just a data whiz but also a change-maker!
✨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 Analyst and Digital Infrastructure Specialist - Knowledge Transfer Partnership (KTP) in Bangor
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data analytics and digital infrastructure. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects you've worked on!
Showcase Your Technical Skills: Since this role requires strong coding skills in Python, R, SQL, or similar, be sure to mention any specific projects where you’ve used these languages. We love seeing practical examples of how you’ve applied your technical know-how!
Engage with Stakeholders: Highlight your experience in engaging with stakeholders and gathering project requirements. We’re looking for someone who can effectively communicate and translate complex ideas into practical solutions, so share any relevant experiences you have!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at School of Computer Science and Engineering, Bangor University
✨Know Your Data Inside Out
Make sure you’re well-versed in data analytics concepts and tools, especially Python, R, and SQL. Brush up on your knowledge of data architecture and cloud systems, as these will be crucial for the role.
✨Showcase Your Project Management Skills
Be prepared to discuss your experience with managing digital or analytics projects. Highlight specific examples where you led a project from start to finish, focusing on governance, milestone tracking, and stakeholder engagement.
✨Engage with Stakeholders
Demonstrate your ability to communicate effectively with diverse audiences. Prepare to share how you've gathered requirements from various stakeholders and translated those into actionable solutions in previous roles.
✨Emphasise Cultural Change Experience
Since this role involves supporting cultural change, be ready to talk about your experience with technology adoption and how you've helped teams embrace new processes. Share any strategies you used to foster a data-led decision-making culture.