At a Glance
- Tasks: Lead data analytics initiatives and transform data into actionable insights.
- Company: Join Celeros Flow Technology, a leader in sustainable flow control solutions.
- Benefits: Enjoy a competitive salary, bonus opportunities, and 33 days holiday.
- Why this job: Make a real impact by driving data-driven decisions in a collaborative environment.
- Qualifications: 5+ years in data analytics with strong leadership skills.
- Other info: Be part of a diverse team that embraces innovation and change.
The predicted salary is between 36000 - 60000 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. For over 140 years our products have helped ensure the safe, reliable operations of key industries. With a passion for precision and partnership, Celeros Flow Technology continues this heritage of high performance and dependability, providing mission critical, sustainable flow control solutions for our customers around the globe.
Celeros Flow Technology is looking for individuals with a voice and a vision. We embrace change, diversity and promote new ways of looking at old ideas. We seek talented professionals to join our world-class team of innovators in a global, collaborative & multi-cultural environment, where you will be challenged, supported, and inspired to be extraordinary.
GENERAL SUMMARY
The IT Manager for Data Analytics is an IT professional who harnesses the power of data to develop new business models, improve productivity, and accelerate business results through data-based insights. This individual partners with business teams to document mapping tables, business rules, and business logic required to transform transactional data from various sources (including ERP systems) into analytical data of value. The role also provides leadership in managing the analytics platform, ensuring data models, pipelines, and BI infrastructure are designed, governed, and operationally reliable. This includes the delivery of dashboards, scorecards, standard reports, ad hoc self-service reports, discovery and analysis, predictive analytics, and comprehensive visualizations.
Principal Duties and Responsibilities
- Establish strong, productive relationships with all stakeholders.
- Define and maintain the appropriate governance structure for Data and Analytics, including prioritization, sequencing of work, and effective resource allocation.
- Translate BI and analytics needs into clear requirements by conducting requirements-gathering sessions with key functions such as Finance, Product Management, Commercial, Engineering, Manufacturing Operations, and Supply Chain teams. This includes understanding key KPIs, identifying required data, and designing dashboards and reports that enable KPI analysis and improvement.
- Lead a team of approximately four technical professionals to deliver projects and support the company's data analytics and digital infrastructure and low-code platforms such as Power Apps.
- Manage the team's talent lifecycle, including hiring, retaining, developing, training, and mentoring technical staff.
- Lead deployment activities and implement strategy across ETL, MDM, data modelling, data transformation, and analytics reporting.
- Gather, analyze, and identify opportunities for enhancements; collaborate with business and technology partners to resolve issues and deliver continuous improvements.
- Design, implement, and deploy enterprise business solutions that support profitable growth and process maturity.
- Define engagement success criteria with business users, monitor progress, and ensure all deliverables meet expectations.
- Ensure data security, access control, and compliance with corporate policies for all analytics platforms, data models, dashboards, and data pipelines.
- Manage relationships with external vendors, consultants, and technology partners to ensure effective delivery, contract value, and alignment with the analytics roadmap.
- Design, support, and enhance the corporate data warehouse and associated data models.
- Identify and implement improvements to the existing BI infrastructure, including evaluating and adopting new technologies aligned with the long-term roadmap.
- Create documentation to help business users and IT team members effectively use the developed solutions.
- Deliver against the data strategy through the development and deployment of executive dashboards, operational dashboards, standard reports, ad hoc reports, discovery and analysis, and predictive analytics.
- Maintain and manage the Data & Analytics budget, ensuring alignment with priorities, cost efficiency, and optimal resource utilization.
Knowledge, Skills and Abilities
- Leading multifunctional teams through coaching, mentoring, and influence.
- Building Customer Loyalty: Effectively meeting customer needs, building productive relationships, and ensuring customer satisfaction.
- Communication: Clearly and succinctly conveying information to individuals and groups in ways that drive understanding and action.
- Contributing to Team Success: Actively participating as a member of a team and supporting achievement of shared goals.
- Initiating Action: Taking prompt, proactive action to accomplish objectives.
- Managing Work: Effectively managing time and resources to ensure efficient completion of work.
- Planning & Organizing: Establishing plans and courses of action for self and others.
- Work Standards: Setting and upholding high standards of performance and accountability.
- High-level understanding of databases, data analytics technologies, ETL/ELT processes, and data visualization technologies.
- Ability and willingness to lead low-code development teams (e.g., Power Apps / Power Platform).
Preferred
- Power BI, Microsoft reporting technologies, and data mining.
- SAP data structures, SAP Basis, SAP transactions and processes, SAP XI, and iDocs.
- SAP BODS / SAP Data Services (ETL/MDM workflows).
- SAP Information Steward.
- Experience implementing Microsoft Fabric (Lakehouse, Pipelines, Warehouse, Semantic Models).
- AI / advanced analytics exposure, including predictive modelling, ML concepts, and responsible AI practices.
- Power Apps or Power Platform development knowledge.
Education and Experience
- Bachelor's degree in information systems, Computer Science, Data Engineering, or a related technical field.
- At least 5 years of hands-on experience with Data and Analytics technologies and their implementation in large corporate environments, including data integration, modelling, and BI/reporting platforms.
- Experience working with enterprise systems such as SAP (including SAP DS/BODS) and modern analytics technologies such as Power BI and Microsoft data platforms.
- Prior experience leading technical teams or managing analytics/BI resources is preferred.
- You must have valid right to work in the UK and be able to obtain security clearance to apply for this role.
BENEFITS
- Competitive salary
- Opportunities to develop
- Bonus
- 33 days holiday (inclusive of)
IT Manager, Data Analytics in Glasgow employer: Celeros Flow Technology
Contact Detail:
Celeros Flow Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land IT Manager, Data Analytics in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like 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 culture. Understand their products and services, especially in data analytics. Tailor your responses to show how your skills align with their needs and values.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or a presentation, demonstrate your experience with data analytics tools and technologies. Highlight specific examples where you've made an impact in previous roles.
✨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 IT Manager, Data Analytics in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the IT Manager role. Highlight your experience with data analytics, team leadership, and any relevant technologies like Power BI or SAP. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us about your passion for data analytics and how you’ve successfully led teams in the past. Be sure to mention specific projects that demonstrate your expertise.
Showcase Your Achievements: When detailing your experience, focus on achievements rather than just responsibilities. Use metrics where possible to show how you’ve improved processes or delivered results. We love numbers that tell a story!
Apply Through Our Website: Don’t forget to apply 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 you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Celeros Flow Technology
✨Know Your Data Inside Out
As an IT Manager for Data Analytics, you’ll need to demonstrate a solid understanding of data analytics technologies and processes. Brush up on your knowledge of ETL/ELT processes, data modelling, and BI/reporting platforms. Be ready to discuss specific examples of how you've used these technologies in past roles.
✨Showcase Your Leadership Skills
This role involves leading a team of technical professionals, so it’s crucial to highlight your leadership experience. Prepare to share examples of how you've coached or mentored team members, managed projects, and fostered collaboration across multifunctional teams. This will show that you can inspire and guide others effectively.
✨Understand the Business Needs
Celeros Flow Technology values individuals who can translate business needs into actionable insights. Familiarise yourself with the key functions mentioned in the job description, like Finance and Supply Chain. Think about how you would gather requirements from these teams and design dashboards that meet their KPIs.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to handle real-world challenges. Think of situations where you identified opportunities for enhancements or resolved issues in data analytics projects. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.