Smart Meter Data Analyst

Openshaw
4 weeks ago
Applications closed

Related Jobs

View all jobs

Customer Service Advisor

Global Head of Data Engineering

Deep Learning Internship - Students pursing PhD only

Linux Software Engineer

Devops Engineer

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Principal responsibilities for the Data Analyst position:

  • Monitor and report on current levels of assets within the ENWL Smart estate
  • Manage the enrolment of new smart meters into the ENWL Smart Metering system.
  • Identify, investigate and address those devices that have not processed via the auto enrolment process
  • Issue commands to update specific features unique to the Smart device
  • Frequent review and reporting on these to ensure they are tracked for continuity in volumes and allows irregularities to be marked and reviewed promptly
  • Analyse enrolment and service request failures and discrepancies to identify common themes.
  • Monitor smart meter behaviours and proactively identify issues or concerns:
  • Monitor and analyse smart meter responses to Service Requests; o Monitor and analyse incoming Alerts to the system
  • Identify meters which may appear non-responsive, raise incidents with the DCC and/or
  • Suppliers; and o Work alongside Suppliers and DCC to identify resolutions and workarounds.
  • Act as the business owner for the Smart Meter System:
  • Raise incidents with the ENWL service desk for any issues identified with the Smart Systems. o Develop key metrics and analytic views to enable the successful management of a device estate which will eventually grow to approx. 2.4 million meters (currently 1.1 million)
  • Monitor and report smart meter metrics to ENWL stakeholders
  • Carry out testing associated with proposed business uses for smart meter data and advise accordingly
  • Define standard reporting and analytic requirements to provide management information and assist management of the smart meter estate
  • Define further reporting and analytic requirements to provide operational information to the wider business
  • Manage Anomaly Detection Thresholds (ADT) with the DCC (Regulatory requirement); and o Manage and respond to any ADT threshold warnings or breaches.
  • Act as point of contact with DCC for their Self Service Interface (SSI):
  • Manage permissions of ENWL users within the SSI system
  • Carry out routine testing to ensure that the DCC service is performing as expected; o Raise incidents against the DCC and/or Suppliers where end to end system behaviour is not as expected
  • Raise incidents against Suppliers where meter device behaviour is not as expected
  • Manage incident responses, updates and escalation.
  • Support IT maintenance and development of the smart metering system:
  • Identify and log any defects or improvements needed with the Smart Meter System; and o Agree and complete/coordinate testing requirements for any changes to the Smart Meter system.
  • Work in accordance with company safety policy; adopting the approach of chronic unease and defensive behaviour.
    Essential Knowledge, Skills and Experience:
    The role holder must have:
  • Experience and skill in manging and analysing large data sets. Working knowledge of Power BI and/or analytical software tools such as Alteryx, SSMS or equivalent.
  • Strong visualisation, written and verbal communication skills (essential)
  • Strong analytical skills with the ability to understand complex processes
  • Experience in the use of Microsoft SharePoint for content management (desirable)
  • An understanding of an Electricity Distributor functions
    Company information:
    At First Recruitment Group we understand just how important it is to secure the right people. That is why our Recruitment Consultants always take the time to understand requirements in detail and offer sound advice to both clients and candidates. We actively recruit at all levels and this is a superb opportunity for a Data Analyst looking for new employment.
    As part of putting people first, we strive to be an equal opportunities employer and we are always looking to increase the diversity of our workforce, working closely with our clients to ensure everyone is included

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.