Celeros Flow Technology
IT Manager, Data Analytics
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Celeros Flow Technology
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 into analytical data of value.
- Provides leadership in managing the analytics platform, ensuring data models, pipelines, and BI infrastructure are designed, governed, and operationally reliable.
- Delivers dashboards, scorecards, standard reports, ad hoc self-service reports, discovery and analysis, predictive analytics, and visualizations.
Principal Duties and Responsibilities
- Establish strong, productive relationships with all stakeholders.
- Define and maintain the governance structure for Data and Analytics, including prioritization, sequencing of work, and resource allocation.
- Translate BI and analytics needs into requirements by conducting requirements-gathering sessions with key functions, including Finance, Product Management, Commercial, Engineering, Manufacturing Operations, and Supply Chain.
- Lead a team of approximately four technical professionals, delivering projects and supporting digital infrastructure and low-code platforms (e.g., Power Apps).
- Manage the talent lifecycle, including hiring, retaining, developing, training, and mentoring technical staff.
- Lead deployment in ETL, MDM, data modelling, data transformation, and analytics reporting.
- Analyze opportunities for enhancements, resolving issues via collaboration with business and technology partners.
- Design, implement, and deploy enterprise business solutions supporting profitable growth and process maturity.
- Define engagement success criteria, monitor progress, and ensure ** deliverables meet expectations**.
- Ensure data security, access control, and compliance with corporate policies.
- Manage relationships with external vendors, consultants, and technology partners.
- Design, support, and enhance the corporate data warehouse and associated data models.
- Identify and implement improvements to BI infrastructure, evaluating and adopting new technologies aligned with the long-term roadmap.
- Create documentation for business users and IT team members.
- Deliver executive and operational dashboards, reports, discovery analysis, and predictive analytics.
- Maintain and manage the Data & Analytics budget, ensuring alignment with priorities, cost efficiency, and resource utilization.
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Knowledge, Skills, and Abilities
- Leading multifunctional teams through coaching, mentoring, and influence.
- Building customer loyalty; meeting needs and ensuring satisfaction.
- Clear communication to drive understanding and action.
- Active participation in team goal achievement.
- Prompt, proactive action-taking.
- Effective management of time and resources.
- Establishment of plans and organizing for self and others.
- Upholding high performance standards and accountability.
Technical Requirements:
- Understanding of databases, analytics technologies, ETL/ELT, and visualization tools.
- Ability and willingness to lead low-code development teams (e.g., Power Apps/Power Platform).
Preferred Qualifications
- Power BI, Microsoft reporting technologies, and data mining.
- SAP data structures: SAP Basis, SAP transactions, SAP XI, and iDocs.
- SAP BODS/SAP Data Services (ETL/MDM workflows).
- SAP Information Steward.
- Experience with Microsoft Fabric (Lakehouse, Pipelines, Warehouse, Semantic Models).
- Exposure to AI/advanced analytics, including predictive modelling, ML, and responsible AI practices.
- Hours of Power Apps/Power Platform development.
Education and Experience
- Bachelor’s degree in Information Systems, Computer Science, Data Engineering, or a related field.
- At least 5 years of experience in:
- Data and Analytics technologies in large corporate environments.
- Data integration, modelling, and BI/reporting platforms.
- Enterprise systems (e.g., SAP, Power BI, Microsoft data platforms).
- Preferable experience:
- Leading technical teams or managing analytics/BI resources.
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Legal Requirements:
- Valid right to work in the UK.
- Ability to obtain security clearance.
Benefits
- Competitive salary
- Development opportunities
- Bonus
- 33 days holiday (inclusive of bank holidays)
- Holiday buy/sell
- Pension
- Life Cover
- Employee Assistance Program
- Digital Benefits: Health, Wealth & Lifestyle
Physical Demands
Daily:
- Standing, sitting, walking, talking, hearing, and specific close vision for computer work.
- Using hands/fingers/arms (operating computer/telephone).
Occasional:
- Stooping, kneeling, crouching, or crawling.
- Lifting/moving light to moderate objects.
- Traveling (air or road, may require extended sitting).
Working Conditions
- Ability to work in moderate business-office noise (computers, phones, printers).
- Work in an open-plan or individual office.
- Sit at a computer terminal for extended periods.
- Sit in a car or plane for extended periods.
Values and Culture
Celeros Flow Technology Values
- Integrity: Safety, respect for employees/business partners/environment, leading by example.
- Speed: Urgency in delivering mission-critical equipment.
- Accountability: Standing by actions and promises.
- Partnership: Collaboration across teams and customers for shared success.
- Excellence: Passion for becoming the best in engineering, manufacturing, and maintenance. Commitment to quality/community improvement.
Quality
All employees must contribute to preventing nonconformity in product, process, and quality system. Responsibility includes identifying/recording issues and proposing solutions via designated channels.
Disclaimer
The listed statements reflect general job essentials and should not be construed as an exhaustive list of responsibilities, duties, and skills for ** Data Analytics Managers**.
Reasonable accommodations will be made for qualified individuals with disabilities.
Equal Opportunity Employer
Celeros Flow Technology is an equal opportunity employer.
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