Data Quality Analyst, Data Governance - NESO

National Energy System Operator
Warwick
1 week ago
Applications closed

Related Jobs

View all jobs

Senior Data Governance & Quality Analyst - Hybrid

Data Quality Analyst – SAP S/4HANA | Hybrid/Homeworking

Salesforce Data Quality Analyst

Data Quality Analyst

Senior Data Quality Analyst

Data Quality Analyst

Data Quality Analyst, Data Governance - NESO

Join to apply for the Data Quality Analyst, Data Governance - NESO role at National Energy System Operator

Data Quality Analyst, Data Governance - NESO

21 hours ago Be among the first 25 applicants

Join to apply for the Data Quality Analyst, Data Governance - NESO role at National Energy System Operator

Get AI-powered advice on this job and more exclusive features.

Title: Data Quality Analyst, Data Governance - NESO

Location:

Warwick, GB, CV34 6DA

Division: NESO Data & AI

Job Type: Full Time

Requisition Number: 67834

Department: ESO

Job Function: Data Analysis and Analytics

Description

About the role

National Energy System Operator’s (NESO) strength lies in our people. Together, we’re shaping the future where clean, affordable energy is accessible for all. Every day is an opportunity to make a real difference, accelerating the progress of sustainable GB energy, keeping people connected and society thriving as we create a brighter tomorrow.

The Data Quality Team at NESO is dedicated to ensuring the accuracy and reliability of data throughout the organization. Our primary responsibilities include implementing and establishing a robust data quality framework, monitoring data controls, and driving continuous improvement in order to support data-driven decision-making. We are committed to maintaining high standards of data quality and integrity, and we work diligently to identify and resolve any data quality issues that may arise. By doing so, we aim to provide accurate and reliable data that can be trusted for informed decision-making across the organisation.

As Data Quality Analyst, your primary responsibility will be to support the Data Quality Manager in ensuring the accuracy and integrity of data within our organization. You will assist in data profiling activities, implement data quality controls, and monitor data quality metrics. Your role will involve collaborating with cross-functional teams, executing data validation, and cleansing procedures, and investigating data quality issues. You will also contribute to data governance initiatives and provide support to end-users on data quality practices and tools.

In the Data Quality Team, you will have ample opportunities to learn and develop essential skills in data quality management. You will gain hands-on experience with data profiling, validation, and cleansing techniques, as well as exposure to industry-standard tools and technologies.

This role is based from Warwick and we continue to offer hybrid working from office and home. We are open to full time and part time applicants, as well as flexible working arrangements.

Key Accountabilities

  • Perform data quality activities as per the defined data quality policies - Data Quality Issue Management, Data profiling, Data Quality Measurement and Monitoring.
  • Operationalize the data quality management frameworks to ensure the accuracy, consistency and integrity of data across NESO.
  • Collaborate with stakeholders across the breadth of the NESO business to understand data requirements, ensuring data quality standards are implemented.
  • Operationalize the master & reference data strategies to provide value to the business.
  • Perform root cause analysis and Identify areas for improvement in data processes and applications to enhance overall data quality within the organization.
  • Ensure compliance with Ofgem Data Best Practices and industry standards and implement data quality practices accordingly. Support the development of training & data literacy programs to educate staff on data quality.
  • Define and monitor key performance indicators (KPIs) for data quality and governance, producing regular reports for stakeholders and senior management.

About You

We are looking for a new team member to support us drive data quality forward.

We’re Looking For Someone Who Is

  • Evidence of strong stakeholder management experience.
  • Demonstrated experience in Data Quality - Analysis, profiling, measurement and management.
  • Exceptional communication skills – ability to articulate data quality concepts and requirements to both technical and non-technical stakeholders.
  • Evidence of using any data quality tools (Informatica, Trillium, Talend etc) and techniques.
  • Ability to organise work based on business value - project management skills to effectively plan, execute and report to management on the progress, risk, and mitigation actions.
  • Evidence of working in Agile environment.
  • An understanding of how data is captured, stored, and accessed, with a good understanding on databases and SQL.
  • Experience on data visualization tools - Data quality metrics, building DQ metrics in tool and communicating the same to stakeholders.
  • Technical expertise regarding data models, database design, data mining.

Note, if you feel you meet some but not all of the requirements, we encourage you to apply. Our development capabilities can help fill potential gaps.

About What You’ll Get

A competitive salary between £48,000 - 60,000 – dependent on experience and capability.

As well as your base salary, you will receive a bonus based on company performance, 26 days annual leave as standard and a competitive contributory pension scheme where we will double match your contribution to a maximum company contribution of 12%.

You will also have access to a comprehensive benefits package tailored to support your well-being and professional success. From a competitive salary to flexible work arrangements, we promote your work-life balance. Enjoy fit for purpose wellbeing and lifestyle offerings, ongoing skill development aligned to our Purpose and Values, and be part of a supportive community that values your individuality and where you can belong.

About Us

National Energy System Operator’s (NESO) mission is to facilitate the decarbonisation of Great Britain’s energy network and ensure the delivery of reliable, affordable, and clean electricity for consumers. We work with stakeholders across the whole energy industry to plan for future network needs, using a wider adoption of technology and changes in consumer behaviour, as well as ensuring we have the right markets, networks, and frameworks in place, to transform the way we operate tomorrow.

Join us, and let’s energise progress.

Your energy, our future, together.

About The National Energy System Operator (NESO)

In Autumn of 2024, the ESO transitioned to National Energy System Operator, or NESO for short. Previously denoted as the Future System Operator (or FSO), the new National Energy System Operator is the independent body responsible for planning Great Britain’s electricity and gas networks and operating the electricity system.

The ESO, including all of its existing roles, are now at the heart of the new National Energy System Operator. As NESO, we will build on our existing roles, capabilities, and ways of working significantly to create an organisation the energy system and its users’ need. Our new capabilities will enable us to look across vectors, including electricity, natural gas and hydrogen, and crucially consider the trade-offs between them.

The organisation is set up as a public corporation with its own Board of independent directors, with complete operational independence from government, the regulator and any and all commercial interest. As was the ESO, NESO will be licenced and regulated by Ofgem through price control agreements and obligated to identify optimal solutions to system operations and planning in the most sustainable, affordable and secure way for all.

The time to deliver is now. As part of our team, you won’t just be touching the lives of almost everyone in Great Britain – you’ll be shaping the way we use and consume energy for generations to come.

More Information

This role closes on 23/07/2025 at 23:59, however we encourage candidates to submit their application as early as possible and not wait until the published closing date as this can vary.

We work towards the highest standards in everything we do, including how we support, value and develop our people. Our aim is to encourage and support employees to thrive and be the best they can be. We celebrate the difference people can bring into our organisation, and welcome and encourage applicants with diverse experiences and backgrounds, and offer flexible and tailored support, at home and in the office.

We're committed to building a workforce that represents the communities we serve, and a working environment in which each individual feels valued, respected, fairly treated, and able to reach their full potential.

Seniority level

  • Seniority levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesUtilities

Referrals increase your chances of interviewing at National Energy System Operator by 2x

Get notified about new Data Quality Analyst jobs in Warwick, England, United Kingdom.

Coventry, England, United Kingdom 1 hour ago

Birmingham, England, United Kingdom 2 weeks ago

Atherstone, England, United Kingdom £53,780.00-£61,950.00 3 weeks ago

Internal Audit - Birmingham - Associate - Data Analytics

West Midlands, England, United Kingdom 1 week ago

Southam, England, United Kingdom 2 weeks ago

Coventry, England, United Kingdom 6 days ago

Clifton, England, United Kingdom 1 week ago

Warwickshire, England, United Kingdom 1 week ago

Coventry, England, United Kingdom 2 weeks ago

Warwickshire, England, United Kingdom 2 weeks ago

Coventry, England, United Kingdom 1 day ago

Birmingham, England, United Kingdom 3 weeks ago

Coventry, England, United Kingdom 1 week ago

Data Reporting Analyst - Centre for Academic Persistence

Coventry, England, United Kingdom 6 days ago

Data Reporting Analyst - Centre for Academic Persistence

Coventry, England, United Kingdom 6 days ago

West Midlands, England, United Kingdom 1 day ago

Birmingham, England, United Kingdom 2 weeks ago

Coventry, England, United Kingdom 1 week ago

Birmingham, England, United Kingdom 1 day ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

Careers Jobs

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

Jobs

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Education Jobs

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.