Business Data Analyst

Harvey Nash
Glasgow
2 months 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

Business Data Analyst | 12 Months (Inside IR35)| Glasgow (3 days onsite Per Week)

Day Rate - up to 450

Harvey Nash's Client is recruiting for a Business Data Analyst. You must be willing to travel onsite 3 days per week. You will be responsible for collecting asset and configuration data requirements from the functions managing, producing, consuming, and assuring the data and performing cross functional analysis to identify synergies and divergence between functions and with industry standards and data platform capabilities (including the ServiceNow CMDB and AMDB).

The Business Analyst's primary duty is to support the alignment between data requirements and data architecture.

Responsibilities include:

  • Identifying and actively tracking data requirements from functions managing, producing, consuming, assuring, and monitoring compliance of the data
  • Collaborating with data architects to identify technical implementation options
  • Validating recommended options meet data requirements
  • Serving as a liaison with the functions requiring the data to assess the impact of the technical solutions
  • Supporting the analysis of data discrepancies between various systems against cross functional data requirements including data lineage analysis
  • Coordinating with other team members to reach project milestones and deadlines
  • Creating, presenting, updating, and recording data artifacts

Skills & Experience Required

  • Minimum of 5 years of experience as a data analysis
  • Strong experience on SQL and relational databases
  • Ability to read technical material (e.g. scripts, configuration files)
  • Minimum of 2 years of experience with ServiceNow with understanding of the CMDB/AMDB data model
  • Experience with data architecture and data lineage analysis in particular
  • Knowledge of data centre and IT inventory equipment

This role falls inside of IR35 and is hybrid working with the expectation to be in the Glasgow office 3 days a week. Please note that for this role you must have or be happy to get a Basic Disclosure Scotland. To apply, please send your CV using the link.

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.

Products

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.

Jobs

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.

Careers

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.