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- Tasks: Lead data management and optimisation, ensuring accuracy and security across the organisation.
- Company: Join a legacy organisation committed to service, community impact, and environmental sustainability.
- Benefits: Enjoy 33 days of leave, competitive salary, pension contributions, and discounts on food and travel.
- Why this job: Be part of a diverse culture that values innovation and collaboration while making a real impact.
- Qualifications: Degree in a relevant field is beneficial; passion for data and experience with ETL processes required.
- Other info: Opportunities for career progression and a supportive work environment await you!
The predicted salary is between 28800 - 42000 £ per year.
This organisation has a proud legacy of growth and innovation, driven by a deep commitment to outstanding service and community impact. Today, that dedication is stronger than ever. With a clear mission and a culture that champions diversity, inclusion, and equal opportunity, they're building a future where everyone can thrive. Safety is at the heart of everything they do, and they're leading the way in environmental sustainability.
You'll take the lead in managing and optimising how data is used across the organisation, ensuring its accuracy, integrity, and security. From overseeing data governance to enabling the use of advanced tools like Language Models, your work will help turn complex data into meaningful insights. Collaboration is central to this role - you'll work closely with cross-functional teams to build and maintain robust data systems and infrastructure. Your contributions will directly support smarter decision-making and drive innovation across the business.
What you'll need to succeed:
- A degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field. (Not a must but beneficial)
- A genuine passion for data - its potential, its impact, and how to harness it effectively.
- Hands-on experience supporting and improving ETL processes.
- Strong proficiency in SQL and other programming languages used for data analysis.
- Advanced expertise in Power BI or similar data visualisation tools.
- Solid understanding of machine learning platforms and algorithms.
- Vision, insight, and the drive to lead change and deliver meaningful results.
What you'll get in return:
- A competitive salary
- 33 days of annual leave
- Fantastic pension contributions
- Clear paths for career progression
- A generous pension scheme
- Concessionary travel benefits for employees and their families
- Discounts on food & drink and at various businesses
- On-site café
- Electric care scheme
- Free parking
- The list goes on!
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Senior Data Manager employer: Hays Specialist Recruitment Limited
Contact Detail:
Hays Specialist Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Manager
✨Tip Number 1
Familiarise yourself with the latest trends in data management and visualisation tools. Being well-versed in platforms like Power BI and machine learning algorithms will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the data management space. Attend industry events, webinars, or local meetups to connect with others who share your passion for data. This can lead to valuable insights and potential referrals that could help you land the job.
✨Tip Number 3
Showcase your collaborative skills by discussing past experiences where you worked with cross-functional teams. Highlighting your ability to communicate effectively and drive projects forward will resonate well with the organisation's emphasis on teamwork.
✨Tip Number 4
Prepare to discuss how you've optimised data processes in previous roles. Be ready to share specific examples of how your contributions led to improved data accuracy or efficiency, as this aligns perfectly with the responsibilities of the Senior Data Manager position.
We think you need these skills to ace Senior Data Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data management, ETL processes, and proficiency in SQL. Use specific examples that demonstrate your ability to turn complex data into meaningful insights.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it can drive innovation. Mention your hands-on experience with data visualisation tools like Power BI and your understanding of machine learning platforms.
Showcase Collaboration Skills: Since collaboration is key in this role, include examples in your application that illustrate your ability to work with cross-functional teams. Highlight any projects where you successfully collaborated to improve data systems.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any errors or typos. A polished application reflects your attention to detail, which is crucial for a Senior Data Manager.
How to prepare for a job interview at Hays Specialist Recruitment Limited
✨Show Your Passion for Data
Make sure to express your genuine enthusiasm for data and its potential during the interview. Share specific examples of how you've harnessed data to drive insights or improve processes in your previous roles.
✨Demonstrate Technical Proficiency
Be prepared to discuss your hands-on experience with ETL processes, SQL, and data visualisation tools like Power BI. Consider bringing along a portfolio or examples of your work to showcase your skills effectively.
✨Highlight Collaboration Skills
Since collaboration is key in this role, be ready to share experiences where you worked closely with cross-functional teams. Discuss how you contributed to building robust data systems and how you navigated challenges in teamwork.
✨Prepare for Questions on Machine Learning
Given the emphasis on machine learning platforms and algorithms, brush up on your knowledge in this area. Be ready to discuss any relevant projects or experiences that demonstrate your understanding and application of machine learning concepts.
