cover image
Environment Agency

Data Analyst - COMAH - 30698

Hybrid

Owston Ferry, United Kingdom

Full Time

14-04-2025

Job Specifications

Job Description

We are fully committed to being an inclusive employer, ensuring equal opportunities for everyone and having a workforce which reflects the communities we serve. We encourage applications from all candidates with the required skills, UK residency requirements and experience for the role and welcome flexible working patterns.

This role is within the Environment Agency’s Control of Major Accident Hazards (COMAH) programme and requires excellent data analytical skills. You will be self-motivated and be able to plan and monitor your workloads to fit with priorities. You will have excellent communications and networking skills.

You will work to embed COMAH tools into EA systems, assist in retrieving data and information from external sources and store appropriately, in line with EA Records Management policy.

Specifically, you will produce visualisations and reliable analyses of data and management information to assist Senior Advisors and Operational teams to ensure effective delivery of the COMAH programme. You will collaborate with Operational teams in the EA and other COMAH regulators, including the HSE to support decision making and good practice.

You’ll have an inclusive incident management objective in your development plan. We’ll help you find a role to suit your needs. Appropriate training will be given.

The team

You will join our Energy & COMAH Team, in the Environment and Business (E&B) Directorate.

We are a dispersed team and work with a wide range of technical and project teams across the country.

We inform and deliver the Government's key environmental objectives: Using evidence, expertise, engagement, and innovation we influence policy and legislation, facilitate, and enhance integrated delivery and, by building trust in the Environment Agency, secure resources to do more for the environment.

Experience/skills Required

We are looking for an enthusiastic and experienced data analyst who understands the data life cycle, collecting, processing, analysing and producing dashboards and visualisations to support programme management and decision making.

Your experience and skills will demonstrate:

Strong analytical and problem-solving skills and be logical and creative.
Applied experience with Power BI and in creating usable data science solutions.
Excellent data visualisation skills and the ability to interpret stakeholder requirements to produce reliable programme dashboards.
Capabilities to innovate new methods to present programme data including income, time recording and KPI information in a clear and compelling way
The ability to optimise existing COMAH programme management tools
Experience of working with others and the ability to support operational teams


Contact and additional information

You will have an EA Office base location, as a national role the working location is flexible / hybrid. We use smart tools to stay connected and reduce travel. Some travel and overnights may be required.

Security clearance will be required for this role, where UK residency of 5 years is needed. Currently we are not able to support or sponsor visa applications.

Please read the Candidate / Additional Information Pack for information. Any queries, contact Charlotte.Sholl@environment-agency.gov.uk

Applications are “blind” assessed using your answers to the competency questions.

Interviews will be held via MS Teams.

If you consent to being held on a reserve list, we’ll hold your details for 6 months and we may offer you an alternative post

Length of contract

Up to 12 months

Competence 1

Takes Decisions and Solves Problems

Description

Finds and delivers optimal solutions by effectively analysing all the information, probing to develop alternatives and taking sound and timely decisions.

Provide a specific example of when you have identified and delivered a solution to a problem by effectively analysing all the information, probing to develop alternatives, and taking sound and timely decisions.

Competence 2

Data and Information Management

Description

Collects, analyses, interprets, records, manages, develops and shares data, material or information appropriately for a variety of purposes.

Provide a specific example when you were responsible for managing and analysing a complex dataset. What steps did you take to ensure the accuracy, consistency and security of the data and how did your work support decision making or improve outcomes?

Competence 3

Communicates Effectively

Description

Listens and questions to understand and engage. Conveys information and ideas clearly, accurately and persuasively through speech and writing.

Provide a specific example of when you have used data or management information and communicated it in an easy to understand and engaging way. Explain how you considered the needs of your audience, decided on the appropriate communication method and style, conveyed the information and ideas clearly and accurately, anticipated reactions and questions and checked the information had been understood.

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 https://www.gov.uk/government/publications/become-a-crown-commercial-service-supplier/becoming-a-supplier-through-the-crown-commercial-service-what-you-need-to-know for more information.

About the Company

We are the Environment Agency. We are the biggest and most wide-ranging environmental regulator in Europe. We work with businesses and communities to protect and improve the environment, for people and wildlife. And the need for our work is becoming ever more important. We protect and improve the environment across England to: • reduce the risks to people and properties from flooding • help businesses and communities adapt to climate change • reduce pressures on biodiversity • help businesses to make sure they don’t harm ... Know more

Related Jobs

Company background Company brand
Company Name
SentinelOne
Job Title
Staff Agentic AI Engineer
Job Description
About Us At SentinelOne, we’re redefining cybersecurity by pushing the limits of what’s possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow’s threats. From building industry-leading products to cultivating an exceptional company culture, our core values guide everything we do. We’re looking for passionate individuals who thrive in collaborative environments and are eager to drive impact. If you’re excited about solving complex challenges in bold, innovative ways, we’d love to connect with you. What are we looking for? We’re looking for a Staff Agentic AI Engineer with extensive experience developing and deploying autonomous agents and AI-driven systems. In this role, you’ll build cutting-edge agent-based solutions that significantly enhance cybersecurity capabilities through proactive and intelligent responses. What will you do? As a Staff Agentic AI Engineer, you’ll join our globally distributed team to: Architect, develop, and deploy advanced autonomous AI agents tailored for cybersecurity applications. Define and implement intelligent agent systems capable of real-time decision-making and adaptive threat responses. Collaborate cross-functionally with product managers, AI researchers, and cybersecurity analysts to translate innovative concepts into robust solutions. Mentor and guide engineering teams on best practices in developing agent-based AI solutions. Continuously evaluate, test, and enhance the capabilities and performance of agentic systems within SentinelOne’s ecosystem. Drive technical excellence and promote engineering best practices within the AI team. What skills and experience should you bring? We are seeking an AI engineer experienced in developing advanced agentic AI systems, with: A degree in Computer Science, AI, Machine Learning, or a related field, or equivalent practical experience. 7+ years of professional experience developing in Python and deploying robust AI/ML solutions, with specific expertise in autonomous agents. Deep understanding of agent frameworks and tools (e.g., OpenAI Agents SDK, autogen, Google ADK/A2A, LangGraph, etc.). Hands-on experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into practical agentic systems. Strong proficiency in Python, with experience in relevant libraries, frameworks, and technologies such as FastAPI, asyncio, and PyTorch. Demonstrated ability to design scalable, distributed systems and cloud-native architectures. Excellent collaboration, mentorship, and communication skills, enabling you to work effectively with distributed teams. Why us? You will work on real-world problems and make an impact by protecting our customers from cyber threats. You will be building the next phase of growth of SentinelOne with our incredible platform & best tech in the industry! You will tackle challenges leading from the front and work with the very BEST in the industry. Private medical care, accident cover and life insurance Restricted Stock Units with annual refreshers Employee Stock Purchase Programme Flexible working hours and access to several co-working spaces High-end MacBook or Windows laptop and home-office-setup gear Volunteering day off and 4_ Wellness Days per year (ad-hoc days off for self care) Global gender-neutral parental leave and grandparent leave Global Employee Assistance Programme offering confidential counseling Full access to LinkedIn Learning, an e-learning platform Full access to Wellness Coach, a mental well-being and fitness application Company inclusion networks and Mentorship programme SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles.
United Kingdom
Remote
Full Time
22-04-2025
Company background Company brand
Company Name
Hays
Job Title
Data Architect
Job Description
Your new company A leading consultancy Your new role Data Architect What you'll need to succeed Data Lakehouse experience Practical hands-on experience Manage wider conversations around architecture and governance Data migration / modernisation Good experience with Data Governance Experience with Data Security Data Streaming Oracle experience Good experience with Databricks Oracle on-prem to Azure What you'll get in return An opportunity to work for a leading consultancy on a rolling contract What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
London, United Kingdom
On site
Full Time
23-04-2025
Company background Company brand
Company Name
Reinsurance Group of America, Incorporated
Job Title
Actuarial Data Scientist
Job Description
You desire impactful work. You’re RGA ready RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 500 Company and listed among its World’s Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Position Overview We’re looking for an individual with strong analytical and coding skills to fill a global role supporting local business teams with data, models, and insight related primarily to mortality improvements. Candidates should be able to demonstrate a strong working knowledge of mortality and longevity research; the role would suit somebody with prior experience of performing R&D or providing analytical support in an insurance/reinsurance environment but may also be suitable for candidates with relevant experience gained through academic research or similar career paths. The successful candidate will play a key role in developing and maintaining the codebase required for loading, manipulating, analysing, and visualizing mortality/longevity/improvements data, and a suite of forecasting models developed locally and served to business units across the globe. The global nature of the role means that the right candidate will get exposure to a broad range of teams and projects from across the business and be involved with a diverse range of analytics initiatives. Responsibilities Builds and maintains software related to modelling and forecasting mortality rates and future improvements in the markets and geographies in which RGA writes business Works with stakeholders across the business to help them understand the tools and models that are on offer, and troubleshoot any issues that arise Writes high quality code in R or Python and understands how to structure what they write such that it is readable, maintainable, and reusable. Works with a range of stakeholders across the organization to understand their needs and prioritize potential projects Responds to development requests and bug-fix-requests in a timely manner, and communicates timelines and progress to all relevant stakeholders Serves tools and insights using a range of modern solutions including launchers and dashboards Stays abreast of new developments in mortality modelling across different geographies, and explains the benefits of these to stakeholders ahead of implementing any agreed methods Finds, collates, cleans, and standardizes a range of key datasets from multiple sources and geographies to help with understanding mortality improvements (cause of death, socioeconomic data, etc.). Conducts ad hoc research into topics related to future mortality improvements, and shares findings with stakeholders across global functions and business units Education And Experience Strong undergraduate degree in a STEM subject Work (or postgraduate research) experience in an analytical role Experience of demographic/biometric research or assumption setting Experience of using R or python in a work or research environment Postgraduate degree Qualified or part-qualified actuary Exposure to working in and/or with Actuarial teams in the insurance industry Skills & Abilities Ability to manipulate, visualize, and analyze large volumes of data using common data science packages like pandas, seaborn, data tables, ggplot, etc. Ability to code in R and/or Python; a good high-level understanding of what makes “good” code, willingness to adhere to team coding standards for key pieces of work, and a willingness to help to set or modify those standards. Fluency in topics related to mortality and longevity research recent mortality trends, excess deaths, competing risks, mortality projection models, etc. Good understanding of core mortality modelling techniques (GLMs, ARIMAs, smoothing methods) Strong oral and written communication skills with ability to share knowledge and explain technical topics concisely Strong investigative, analytical, and problem-solving skills Basic knowledge of the Life Insurance industry and key products (annuities and assurances) Experience of common mortality model structures like the Lee Carter and APC models Driven to improve and continue to develop technical and soft skills Experience of serving dashboards to business teams Experience of building R packages Experience using github What you can expect from RGA Gain valuable knowledge from and experience with diverse, caring colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast, endless career potential.
London, United Kingdom
Remote
Full Time
23-04-2025
Company background Company brand
Company Name
HCLTech
Job Title
Data Test Lead
Job Description
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Job Summary: We're looking for an experienced Data Test Lead with 15+ years of experience in data testing. The ideal candidate will have a strong background in data testing, including data quality, data validation, and data verification. The Data Test Lead will be responsible for leading and managing data testing efforts, ensuring alignment with business requirements and industry standards. Key Responsibilities: 1. *Data Testing*: Lead and manage data testing efforts, including data quality, data validation, and data verification. 2. *Test Planning*: Develop and execute test plans, including test cases, test scripts, and test data. 3. *Test Automation*: Develop and implement test automation frameworks, including data testing tools and technologies. 4. *Defect Management*: Identify and manage defects, including defect tracking, defect reporting, and defect resolution. 5. *Collaboration*: Collaborate with cross-functional teams, including data analysts, data scientists, and data engineers. 6. *Quality Assurance*: Ensure data quality, including data validation, data cleansing, and data transformation. Requirements: 1. *Experience*: 15+ years of experience in data testing. 2. *Data Testing Knowledge*: Strong understanding of data testing, including data quality, data validation, and data verification. 3. *Test Automation Knowledge*: Strong understanding of test automation frameworks, including data testing tools and technologies. 4. *Defect Management Knowledge*: Strong understanding of defect management, including defect tracking, defect reporting, and defect resolution. 5. *Leadership Skills*: Proven leadership skills, with experience leading cross-functional teams. Nice to Have: 1. *Certifications*: Certifications in data testing, such as Certified Data Tester (CDT) or Certified Software Tester (CSTE). 2. *Cloud Experience*: Experience with cloud-based data solutions, including AWS or Azure. 3. *DevOps*: Experience with DevOps practices, such as continuous integration and continuous deployment. 4. *Agile Methodologies*: Experience with Agile methodologies, such as Scrum or Kanban.
London, United Kingdom
Hybrid
Full Time
22-04-2025