Maintenance Assurance Data Analyst

Maintenance Assurance Data Analyst

Hello! Thanks for stopping by. Let us tell you about all the great reasons to join us here at Yorkshire Water:

• We offer a competitive salary, (4c), £36,966 - £46,166, depending on experience
• Annual incentive related bonus (£1000 maximum Bonus Opportunity for the Performance Year)
• Attractive pension scheme (up to 12% company contribution)
• Life assurance cover of 4 times pensionable salary
• 25 days annual leave plus bank holidays – plus two extra wellness days!
• A great benefits package – choose from health cash plan scheme, critical illness insurance, dental insurance, life assurance flex and partner cover.
• Retail savings scheme
• Online GP service, cycle to work scheme, gym membership discounts and many more!

Location:

Buttershaw, Bradford. Hybrid working with usually 2 days a week, office based, pending move to Leeds Valley Park (LS10) from September 1st.

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

We have an exciting opportunity for a Maintenance Assurance Data Analyst to join us in the Asset Management team and be a part of helping us give the very best service to our customers. Could this be you?

Everyone has an idea of what a water company does. Here in Yorkshire, we make sure that over 5.4 million people living in the region and the millions of people who visit our region each year, can rely on our services, and have clean and safe drinking water on tap and that their wastewater is taken away. But for us, it’s so much more than this.

We look after communities, protect the environment, and plan to look after Yorkshire’s water, today, tomorrow 24/7, 365 days a year. We provide essential water and wastewater services to every corner of the Yorkshire region, and play a key role in the region’s health, wellbeing, and prosperity.

New environmental legislation, unprecedented levels of investment and changing expectations from customers means that this is an exciting time to discover opportunities within the water industry. The Asset Management team are a key part of how we plan to meet the changing expectations of customers and regulators.

This role is responsible for the collation and interpretation of data from numerous sources for the purpose of monitoring, interpreting and assuring the delivery of maintenance activity, to collate and provide information on demand for internal and external stakeholders and to help seek out opportunities to optimise the strategic planning and definition of maintenance activity.

This role will build upon, improve, develop and maintain reports and dashboards routinely and ad-hoc to aid stakeholders monitor and evaluate near real-time insights into engineering and maintenance performance. The role will be instrumental in embedding data driven decision making through the combination of flat data, machine learning and artificial intelligence.

• Interrogate SAP S/4
  
  HANA to provide technical support and advice on the system to Engineering people leaders and continuous improvement specialists
• Build, develop, improve, simplify performance Power Bi dashboards both 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 (from data taken from SAP S/4
  
  HANA) spanning various business units, asset groups, time frames and engineering disciplines.
• Compile, analyse, and interpret Condition Monitoring sources to develop and present on accurate predictions.
• Gather and organize data from various sources, including maintenance logs, work orders, and sensor readings, to create comprehensive datasets.
• Analyse data to assist in identifying “bad actors” for equipment failures, downtime, and other maintenance-related issues.
• Collaborate with cross-functional teams to recommend and implement data-driven solutions to improve maintenance strategies, workflows, and resource allocation.
• Provide training and support to Asset Delivery personnel on data collection.

• Essential to have competence in SAP S/4
  
  HANA for…