At a Glance
- Tasks: Analyse data to ensure safe drinking water and environmental prosperity.
- Company: Join a leading organisation committed to sustainability and community.
- Benefits: Competitive salary, private healthcare, annual bonus, and 25 days holiday.
- Other info: Flexible working hours and excellent career development opportunities.
- Why this job: Make a real impact by turning data into actionable insights.
- Qualifications: Experience with data analytics and strong communication skills.
The predicted salary is between 34561 - 34561 £ per year.
Circa £34,561 dependent on skills and experience
Permanent, full time (37 hours) with flexibility for part time
Huntingdon / Peterborough
Dive into a world of opportunity, and join our team! The Data Analyst is a key role working with stakeholders across the Quality, Environment and Assurance directorate to deliver safe, clean drinking water and environmental prosperity through data and information. You'll apply analytical techniques, develop subject matter expertise in regulatory contexts, and interpret opportunities for data to add value through reporting and analysis products.
You'll ensure statutory data returns are provided within required timescales, support sampling programmes, respond to information requests, and proactively seek opportunities to translate data into insights for business decision making.
Key responsibilities
- Prepare, validate, and submit statutory, regulatory, and financial returns.
- Support production and review of sampling programmes.
- Extract and analyse asset and environment data for stakeholders.
- Develop innovative ways to turn data into usable information.
- Maintain product metadata and ensure compliance with management systems.
- Collaborate across the analytics community and build strong stakeholder relationships.
As a valued employee you'll be entitled to:
- A competitive pension scheme where we double-match your contributions up to 6%
- Private healthcare for your peace of mind
- An annual bonus scheme
- The opportunity to volunteer in your local community
- 25 days holiday (plus Bank Holidays), increasing with service, with the option to swap Christmas and Easter for religious holidays
- Life cover (8x your salary) and personal accident cover (up to 5x your salary)
- Flexible benefits to support your well-being and lifestyle
- Paid time off for illness, both physical and mental
- Free parking at all office locations, sites, and leisure parks
- Excellent family-friendly policies, including 26 weeks of full pay for maternity/adoption leave and 4 weeks of paternity/partner pay, with the opportunity for shared parental leave
What does it take to be successful?
- Strong experience with relevant data types and analytics products.
- Understanding of environmental, operational, or regulatory frameworks.
- Logical, analytical, and effective communicator.
- Ability to cleanse and synthesise data and create compelling visualisations.
- Experience translating business need into analytics opportunity.
- Takes ownership, builds rapport, and seeks feedback for improvement.
Inclusion at Anglian Water:
Inclusion is for everyone and we are an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes, and we're committed to creating an environment where all our colleagues feel they belong.
Closing date: 22nd June 2026
Data Analyst in Huntingdon employer: Anglian-Water-5
Join Anglian Water as a Data Analyst and become part of a forward-thinking team dedicated to delivering safe drinking water and environmental sustainability. With a strong focus on employee well-being, we offer a competitive pension scheme, private healthcare, and generous holiday allowances, alongside opportunities for professional growth and community engagement. Our inclusive work culture values diversity and encourages collaboration, making it an excellent place for those seeking meaningful and rewarding employment in Huntingdon/Peterborough.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Huntingdon
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Anglian-Water-5!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Anglian-Water-5.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Anglian-Water-5.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Anglian-Water-5, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Huntingdon
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Anglian-Water-5, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Anglian-Water-5. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Anglian-Water-5
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Anglian-Water-5!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
