Data Analyst

• Collect, clean, and analyse data relating to productivity, utilisation, and deployment across field and operational teams.
• Develop and maintain dashboards and reports to track key performance metrics including job completion rates, utilisation rates, time-on-site, and productivity benchmarks.
• Identify patterns, inefficiencies, and opportunities for improvement in how engineering resource is planned and allocated.
• Present findings clearly to both technical and non-technical stakeholders, including senior leadership.
• Work with existing data sources, systems, and toolsets to extract meaningful insight, recommending improvements to data capture and reporting processes where required.
• Collaborate with cross-functional teams to understand operational context and ensure analytical outputs are relevant and actionable.
• Produce a final project report and handover documentation summarising methodology, findings, and recommended next steps.

We are looking for a motivated graduate Data Analyst to support a short-term contract project focused on engineer productivity and utilisation across our operations. This is an excellent opportunity for a recent graduate to gain hands-on experience in a real-world analytical project, working alongside the operations team and leadership team. The successful candidate will gather, analyse, and interpret data to provide actionable insight into how our engineering workforce is deployed, identify trends, and support evidence-based decision making. This is a fixed-term contract role, expected to last 3 months, with potential for extension subject to project requirements., * A degree (or recent graduation) in Data Science, Statistics, Mathematics, Business Analytics, or a related discipline. Final-year students due to graduate imminently will also be considered.

• Some practical exposure to data analysis through academic projects, placements, internships, or part-time work. Prior experience in an engineering or utilities environment is not required but would be advantageous.
• Familiarity with data tools such as Excel and SQL, gained through study or personal projects. Exposure to a BI or visualisation platform (e.g. Power BI, Tableau, or Looker) is desirable but not essential.
• An understanding of or interest in workforce or operational data, including metrics such as utilisation rates, job throughput, or scheduling efficiency, whether from academic study, a dissertation, or a placement.
• Excellent communication skills with the ability to translate complex data insight into clear, concise outputs for non-technical audiences.
• Eagerness to learn, take initiative, and manage own time effectively to meet agreed project milestones.

• Competitive salary
• Contributory Pension scheme
• Life assurance
• 29 days annual leave inclusive of bank holidays
• Enhanced maternity, paternity, adoption leave, and other family friendly policies such as carer's leave, neonatal leave, IVF, and assisted conception leave
• Sureserve Benefits Hub, accessing over 1000's retail discounts
• Virtual GP service, 24/7, 365 days, available for employees and your immediate family
• Employee assistance programme (EAP), available 24/7. 365 days, for employees and your immediate family
• Bike2Work scheme

Sureserve Energy Services Meters Ltd, is a subsidiary of Sureserve, we specialise in installing domestic smart meters across the UK, working directly with 3 of the "Big Six" energy suppliers in the UK. As a leader in the smart metering industry, Sureserve Energy Services Meters Ltd, is dedicated to advancing energy efficiency and sustainability through innovative metering solutions. Our mission is to empower consumers and businesses with accurate, real-time data, enabling informed energy decisions.