Maintenance Assurance Data Analyst

Maintenance Assurance Data Analyst

Location: Buttershaw, Bradford. Hybrid working with usually 2 days a week, office based. Pending office mover to Leeds from Summer 2026.

Work type: Permanent. 37 hours per week, Monday – Friday.

Where you fit in:

• Build, develop, improve, simplify performance dashboards for Engineering, Complex Maintenance and Engineering Design/Assurance teams.
• Build and maintain semi‑automated workflow management forms and reports.
• Develop and present timely reports on maintenance adherence to plan spanning various business units, asset groups, timeframes and engineering disciplines.
• Develop a deep understanding of SAP S4‑HANA ERP and provide technical support and advice to Engineering leaders and continuous improvement specialists.
• Provide feedback to stakeholders to ensure data quality within the company’s CMMS as well as asset condition monitoring platforms.
• Compile, analyse and interpret CMMS data to develop and present accurate predictions.
• Gather and organise data from various sources, including maintenance logs, work orders and sensor readings, to create comprehensive datasets.
• Analyse data to identify “bad actors” for equipment failures, downtime and other maintenance‑related issues.
• Perform specialised tasks in data visualization, statistical analysis and predictive modelling.
• Collaborate with cross‑functional teams to recommend and implement data‑driven solutions to improve maintenance strategies, workflows and resource allocation.
• Stay up to date with industry best practices and emerging technologies in maintenance data analysis.
• Provide training and support to Asset Delivery personnel on data collection.

What skills & qualifications you’ll need:

• Qualified to degree level (Level 6 or above) in a STEM or data analysis subject.
• Demonstrable analytical skills and the ability to seek out information from raw data, interpret it and provide intelligence to decision makers.
• Experience working with SAP S4/HANA for reporting and data analysis.
• Proficiency in Microsoft Office 365 programs including Power BI, Excel, Word and PowerPoint.
• Experience with data analytical platforms.
• Effective communication skills.
• Ability to work independently and self‑manage.
• Excellent time management to meet stringent timescales, with strong multi‑tasking ability.
• Sound decision‑making skills.
• Diligence and strong attention to detail.

You will also benefit from having:

• Experience working within an engineering, maintenance planning or maintenance delivery field.
• Experience in the water industry across waste and clean water.
• Understanding and application of machine learning and/or artificial intelligence.

Equal Opportunity Statement

Kelda Group values equality, diversity and inclusion. We welcome applications from all individuals, regardless of gender, marital status, parental status, sexual orientation, race, colour, ethnic or national origin, disability, age, religion or belief and trade union membership.

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