Business Data Analyst (12-month contract)

Almac Group Ltd
Armagh City, Banbridge and Craigavon
1 month ago
Applications closed

Related Jobs

View all jobs

Business / Data Analyst

Business Data Analyst

Business Data Analyst

Data Analyst

Senior Data Analyst

Senior Data Analyst

Location: Craigavon Hours: 37.5 hours per week with flexitime hours available Salary: Competitive plus an excellent Benefits Package Business Unit: Diagnostic Services Open To: Internal and External Applicants Ref No.: HRJOB11383 The Role Almac Diagnostic Services are recruiting for a Business Data Analyst to join the Commercial and Business Operations teams, with a primary focus on data migration activities. In this role, you will collaborate with technical experts to prepare and upload data into business systems e.g. D365, troubleshoot import issues, and ensure the accuracy of data entries. Working both independently and as part of a project team, you will be guided by the Data Migration Lead and occasionally support the Business Analysis Team on data-related tasks. What we are looking for Eligibility to work in the UK or possess a valid work permit that will allow you to take up full time, permanent employment in the UK. Bachelors Degree (or equivalent) in an Accounting, Finance, Data Science or Business-related discipline OR Experience working with Business Data including gathering, maintaining, cleansing and monitoring data. Ability to work to tight deadlines and manage a varied workload whilst maintaining high attention to detail. Further Information For more information on essential and desirable criteria, please review the job description attached to the online job posting. Apply Now Apply online and tailor your CV to outline how you meet the role criteria. Please upload your CV in PDF format where possible. Closing Date We will no longer be accepting applications after 5pm on Tuesday 17th March 2026. RECRUITMENT AGENCIES PLEASE NOTE: Almac will only accept applications from agencies/business partners that have been invited to work on this role by our Talent Acquisition team. Speculative candidate CVs received or submitted directly to Hiring Managers will be considered unsolicited and no fee will be payable. Thank you for your cooperation. Skills: Data Analysis Data Migration Attention to Detail

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.