Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst

Kirk Ella
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Are you looking for the right role for you? Then look no further...

Data Analyst
Salary – £26,734 – £33,417 per annum (plus benefits)
Hours – 37.5 hours per week, 8.30am to 5.00pm
Location Postcode – HU10 6TS

As a Data Analyst, you will provide administrative support to the management team, ensuring invoices are processed in a timely manner, and enquiries are resolved effectively. You will be expected to assist in other finance areas to cover staff absences and busy periods.

This vacancy is for a full-time position, working 5 days per week, however, we will consider requests for job shares to suit your lifestyle (working full days).

Our promise to you

  • Competitive salary
  • 20 days’ annual leave (full-time working) plus Bank Holidays
  • Pension scheme (Employer 3% / Employee 5% Min)
  • On-the-job training and progression
  • Recognition scheme
  • Flexible benefits including high street savings, cycle to work scheme and Gymflex membership, holiday purchase and many more
  • Access to an Employee Assistance Programme and the Best Doctors Service via our Wellbeing Platform

    What will you be doing?

  • Collation, creation and preparation of data for reporting purposes by using all available resources
  • Seek continuous improvement by re-assessing processes and best practices concerned with data
  • Create new and useful reports to assist the management of the business
  • Support the Management Accountant in preparing journals for accruals and other month-end financial entries
  • Undertake “Commercial Manager” role in SAP which is the first level matching of supplier invoices
  • Act as key liaison between suppliers, purchase order raisers and the Doncaster payables team to ensure supplier invoices are processed on a timely basis
  • Answering telephones
  • Data entry
  • Accuracy of record-keeping
  • Achievement of individual objectives
  • Completion of activities on the 12-month plan / last appraisal

    What we are looking for?

  • Knowledge of accounts processing, debits and credits
  • Good working knowledge of Excel and working knowledge of other Microsoft Office packages
  • Ability to hit deadlines
  • Able to work as part of a team and on your own
  • Analytical and problem solving

    About Us

    We are FCC Environment, one of the nation’s leading waste and resource management companies. Committed to sustainability, we strive to minimise the amount of waste that ends up in landfill by transforming it into valuable resources wherever possible.

    We operate over 200 facilities in England, Scotland and Wales and employ around 4,200 people.

    The profile of the UK's recycling and waste management industry has never been higher. We need people who are up for the challenge to help us tackle climate change. We need people with ideas. We need you. Together we will meet the UK’s waste management and energy recovery needs.

    FCC Environment are equal opportunities employers, we value diversity, and we are strongly committed to providing equal employment opportunities for all employees and all applicants for employment.

    How to apply

    So, if you want to advance your career as a Data Analyst, please apply via the button shown. This vacancy is being advertised by Webrecruit; the services are those of an Employment Agency

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.