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- Tasks: Join us as a Data Analyst to transform water regulation through innovative data solutions.
- Company: Be part of the Environment Agency, dedicated to protecting the environment and enhancing community well-being.
- Benefits: Enjoy flexible working patterns, training opportunities, and a supportive, inclusive culture.
- Why this job: Make a real impact in environmental protection while developing your data skills in a dynamic team.
- Qualifications: Experience with data analysis tools like R, Python, and Power BI is essential.
- Other info: This role offers flexible working locations and occasional travel.
The predicted salary is between 28800 - 43200 ÂŁ per year.
1 day ago Be among the first 25 applicants
Job Description
We are fully committed to having an inclusive workforce to reflect the communities we serve. We welcome flexible working patterns for all our vacancies, including job share, so please clearly include any information regarding your preferred working arrangements on your application.
Job Description
We are fully committed to having an inclusive workforce to reflect the communities we serve. We welcome flexible working patterns for all our vacancies, including job share, so please clearly include any information regarding your preferred working arrangements on your application.
Are you an experienced Data Analyst with a passion for employing your skills and experience to protect and enhance the environment? This is an exciting opportunity to join a team of data analysts transforming the way data is assessed to strengthen intelligence-led regulation and drive improved performance of the Water Sector.
We are looking for an enthusiastic and innovative data analyst to be at the heart of work to deliver digital transformation, providing advanced data analytics capabilities at a national level to improve delivery of regulatory activities across the business.
In this role you will:
- Develop and maintain new tools and applications to analyse large sets of water company data, together with environmental information, to assess compliance against environmental permit conditions.
- Ensure quality and robustness of reported data and provide technical advice to improve data quality and processes in the future.
- Manage and deliver tasks to a high standard and within tight deadlines.
- Collaborate with stakeholders across the business to identify innovative solutions that support an evidence-led approach to Water Regulation.
- Embed new processes and tools within the business ensuring feedback and continuous development to meet changing needs.
With the growing availability of big data in the Water Industry, this role offers a unique chance to make a significant business impact in a high-profile area.
You’ll have an incident management objective in your development plan. We’ll support you to find a role to suit your needs and circumstances. Appropriate training will be given.
The team
You will join the Digital Innovation and Regulation Team in Water Regulation, part of the National Environment and Business (E&B) directorate.
We currently play a central role in shaping and delivering the Environment Agency’s data and evidence led approach to regulating Water Companies.
In E&B we promote a positive, inclusive, and supportive culture where everyone feels valued. We use evidence, expertise, and innovation to enhance and support delivery, influence policy, legislation and secure resources.
Experience/skills Required
- Experience leading innovative data initiatives from inception to completion, to improve business processes and performance.
- Proven ability to deliver high-quality work to tight deadlines through effective collaboration.
- Experience managing and analysing large datasets using tools like R, Python, FME, ArcGIS, and the Microsoft Power Platform (Power BI, Power Automate, Power Apps).
- Excellent communication and presentation skills to work with stakeholders
- Ability to ensure data quality and compliance with relevant data governance standards.
- Able to work as part of a team, sharing skillsets to build resilience and ensuring processes are documented.
Desirable
- Experience of Microsoft Synapse and Fabric
- Experience in implementing best coding practices, including adherence to standard code style, use of functions, control flow, version control, and comprehensive code testing and documentation.
- Experience of collaborating within an agile team, sprint planning, peer reviews, and retrospectives to deliver high-quality, iterative data solutions.
Contact and additional information
You’ll have an EA Office base location, as a national role the working location is flexible.
Occasional travel and overnights will be required.
Please see the Additional Information Pack. For queries, contact , or
Applications are “blind” assessed using your answers to the competency questions.
If a large number of applications are received, an initial sift using the lead capability may be conducted. Successful candidates will then proceed to a full sift or directly to interview.
Feedback is generally not available at sift stage
Interviews will be held via MS Teams around late September
If you consent to being held on a reserve list, we’ll hold your details for 6 months and may offer you an alternative post.
Competence 1
Data and Information Management
Description
PLEASE NOTE: Your answer will be used for interview selection – please draw out your skills and experience in your response. You may find it helpful to research the STAR approach when formulating your response and refer to the Environment Agency Capability Dictionary ( for the skills we are looking for.
If a large number of applications are received, an initial sift using this lead capability may be conducted.
Description: Collects, analyses, interprets, records, manages, develops and shares data, material or information appropriately for a variety of purposes.
Please provide an example of where you have had to analyse and interrogate large sets of data and present your findings/conclusions to a wider audience?
Competence 2
Takes Decisions and Solves Problems
Description
PLEASE NOTE: Your answer will be used for interview selection – please draw out your skills and experience in your response. You may find it helpful to research the STAR approach when formulating your response and refer to the Environment Agency Capability Dictionary ( for the skills we are looking for.
Description: Finds and delivers optimal solutions by effectively analysing all the information, probing to develop alternatives and taking sound and timely decisions.
Please give an example of a problem you have identified when analysing a large set of data and the decision you took to ensure the correct conclusion was achieved?
Competence 3
Focuses on Efficiency, Innovation and Quality
Description
PLEASE NOTE: Your answer will be used for interview selection – please draw out your skills and experience in your response. You may find it helpful to research the STAR approach when formulating your response and refer to the Environment Agency Capability Dictionary ( for the skills we are looking for.
Description: Identifies and seizes the opportunity to create, introduce and implement new or improved methods, processes and without, compromising quality or accuracy.
Please provide a recent example of where you identified and implemented new or improved data analytical methods and/or processes to deliver an important outcome?
If you are applying from the Civil Service please note that the Environment Agency is not a part of HM Civil Service and you would not be a Crown Servant in the event of being appointed. Therefore, you will not be eligible for continuous service. For applicants who currently work in local government or other bodies listed in the Redundancy Payments (Continuity of Employment in Local Government etc) (Modification) Order 1999, you may be eligible for continuous service for the purpose of calculating any future redundancy payment. If you are unsure of your status then you should contact your own HR Team.
We are fully committed to having a diverse and inclusive workforce to reflect the communities we serve. We welcome flexible working patterns for all our vacancies, including job share, so please include clearly any information regarding your preferred working arrangements on your application.
We also have a Guaranteed Interview Policy to support those with a disability who are seeking employment. We have committed to guaranteeing an interview to anyone with a disability whose application meets the minimum criteria for the post.
The Environment Agency, as a Non-Departmental Public Body, is committed to providing value for money and utilises Central Government frameworks and contracts for all external recruitment needs. For this reason, we are unable to engage with the market directly through post, email or phone calls . Should you wish to become a support supplier on one of these frameworks or contracts please visit for more information.
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Data Analyst: Digital Innovation & Regulation - 31556 employer: Environment Agency
Contact Detail:
Environment Agency Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Digital Innovation & Regulation - 31556
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as R, Python, and Power BI. Consider taking online courses or tutorials to enhance your skills in these areas, as practical knowledge will set you apart during interviews.
✨Tip Number 2
Network with current or former employees of the Environment Agency or similar organisations. Engaging with them on platforms like LinkedIn can provide valuable insights into the company culture and expectations, which can help you tailor your approach.
✨Tip Number 3
Prepare for competency-based questions by using the STAR method (Situation, Task, Action, Result). Think of specific examples from your past experiences that demonstrate your ability to analyse data, solve problems, and innovate.
✨Tip Number 4
Show your enthusiasm for environmental issues and data-driven decision-making. Research recent developments in water regulation and be ready to discuss how your skills can contribute to the agency's goals during the interview.
We think you need these skills to ace Data Analyst: Digital Innovation & Regulation - 31556
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your data analysis capabilities, particularly with tools like R, Python, and Power BI, as well as any experience in environmental data.
Craft a Strong Cover Letter: In your cover letter, express your passion for data analysis and how it can contribute to environmental protection. Mention your understanding of the role's responsibilities and how your previous experiences make you a suitable candidate.
Use the STAR Method: When answering competency questions, use the STAR (Situation, Task, Action, Result) method to structure your responses. This will help you clearly demonstrate your problem-solving skills and ability to manage large datasets.
Highlight Flexibility: Since the company welcomes flexible working patterns, be sure to mention your preferred working arrangements in your application. This shows that you are considerate of their inclusive workforce policy.
How to prepare for a job interview at Environment Agency
✨Understand the STAR Technique
Familiarise yourself with the STAR (Situation, Task, Action, Result) technique for answering competency questions. This will help you structure your responses effectively, especially when discussing your experience with data analysis and problem-solving.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with tools like R, Python, and Power BI. Highlight specific projects where you used these tools to analyse large datasets and how your contributions led to improved business processes.
✨Emphasise Collaboration
Since the role involves working with various stakeholders, share examples of how you've successfully collaborated in past projects. Discuss how you communicated complex data findings to non-technical audiences to drive decision-making.
✨Prepare for Scenario-Based Questions
Anticipate scenario-based questions that assess your ability to make decisions and solve problems. Think of instances where you identified issues in data analysis and the steps you took to resolve them, ensuring you articulate the impact of your actions.
