Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst Utilities

Bury
6 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst - Swindon, Swindon

HR Data Analyst

Sustainability Data Analyst

Lead Data Analyst

Due to constant growth, I am looking for an experienced Metering Data Analyst to join a very successful utility organisation in the Rochdale area. 

What are the responsibilities? 

The management of all Meter/Automatic Meter Reader (AMR) installations, exchanges, removal or asset update data flows ensuring all data sources are aligned and maintained
Sourcing key stakeholder details and updating all relevant systems and ensuring all appointments and de-appointments are correct
Resolving any issues that may arise from incorrect meter and/or AMR data in a timely and effective manner
To manage and remedy industry meter reading rejections
Liaise with customers, metering partners, reading agencies, other gas suppliers and internal stakeholders to resolve meter and data queries in a timely and effective manner
To support the business with its AMR and Smart meter roll out strategy
To request, remove or re-synchronize AMR devices with metering agencies within agreed SLAs
Ensure meter readings are obtained and submitted to the industry within a specified timeframe
Process industry file flows that update relevant meter points so that the supply point data held is accurate both at industry and supplier level to allow accurate billing
Maintain and develop high levels of customer services to support Crown Gas & Power’s operational and sales functions
Providing regular and adhoc reports

The perks:

On-site gym and shower
Free parking 
Great culture
Breakfast and lunch provided
Sporting events 
Social and interactive events
Please note, this is a full time role, Monday to Friday in the office. 

Thanks

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.