Location
Hatfield
Hours
Full Time
Salary
From £45,000 per year, dependent on skills and experience
About the Role
We’re launching a transformational two-year programme to strengthen our data, reporting and insight capabilities, and we’d love you to be part of it. We’re looking for a Business Data Analyst to join us on an 18-month fixed-term contract, helping us deliver improvements to our data quality, reporting, visualisation and insight capabilities. You’ll join our established Data Analytics and Governance Team, helping to shape how we manage, understand and use data across Affinity Water.
You will work closely with business and technical teams to turn requirements into effective data solutions, improve data quality and governance, and deliver meaningful insights that support better decision-making. You’ll also support exploratory data analysis, data mapping and visualisation, working alongside data scientists, engineers and architects to develop reporting, dashboards and data products.
Key responsibilities include:
- Gathering, analysing and documenting business and data requirements using techniques such as process mapping and gap analysis
- Working with stakeholders across the business to understand challenges and identify opportunities to use data more effectively
- Mapping data flows and lineage to support data quality, integrity and governance
- Supporting exploratory data analysis and collaborating with data science, engineering, architecture and IT teams to deliver data solutions
- Creating clear and engaging data visualisations and communicating insights to both technical and non-technical audiences
- Contributing to scalable, sustainable data solutions aligned with business and technical standards
Experience
Significant experience in a Data or BI Business Analyst role, ideally within data transformation programmes. Strong SQL and data analysis skills, with experience working with large and complex datasets. Good understanding of data quality, data governance, data warehousing, data lakes and ETL processes. Experience with data mapping, modelling and gathering detailed data requirements. Knowledge of data visualisation tools, preferably Qlik Sense, and an understanding of data science and scripting languages such as Python. Experience working in agile environments and managing your own workload to meet deadlines. Experience within the water industry and knowledge of billing, customer, asset, hydraulic or GIS data would be advantageous.
About you
Strong stakeholder management and communication skills, with the ability to explain complex information clearly. Excellent analytical and problem-solving skills, with a naturally curious approach to understanding data and finding solutions.
Qualifications
No specific qualifications stated, but relevant experience and skills in data analysis, business intelligence, and data governance are essential.
Benefits
Salary from £45,000 dependent on skills and experience. Learning and development opportunities including mentoring and a range of formal courses and open learning resources. Entry into the company annual bonus scheme. Annual leave from 26-30 days rising with length of service, with the option to purchase up to 5 extra days. A ‘Celebration Day’ in addition to public holidays to celebrate a religious festival or other important occasion. A generous double match pension scheme that doubles your contributions (company contribution capped at 12%). Family benefits including enhanced Maternity, Adoption, Paternity, Shared Parental Leave, Fertility Support Leave and up to 5 full or 10 half days of paid Carers Leave. Menopause and Reasonable Adjustment policies to support everyone performing at their best. Access to a Wellbeing Centre for physical and mental health support. Discounts at retail outlets and on dental and medical insurance through salary sacrifice. Up to 4 Affinity days a year to volunteer in the community. Life Assurance. Disability Confident employer committed to offering interviews to disabled candidates who meet essential criteria.
Affinity Water




















