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

Apply Now

Business Analyst

Stowmarket
1 year ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst - Healthcare, Data, AI

Business Data Analyst

Technical Business Data Analyst

Data Analyst - United Kingdom (London)

Data Analyst (TGM2180) – £26k-£27k

Data Analyst, Ticketing

On behalf of our client, a market leader in their field, we are seeking an experienced Business Analyst to join the team on a 12-month fixed term contract, leveraging the power of data to earn customer loyalty and drive business growth.

This is an exciting new role, and will be primarily Data-Focused. This role is integral to company data strategy, aiming to connect customers to assets through consistently excellent service and innovative data solutions.

PLEASE NOTE: Due to the nature of this role, the successful candidate must offer a proven track record within a Business Analyst role working with complex business data challenges.

Key Responsibilities:

Collaborate with business stakeholders to understand and document their data needs and translate these into technical requirements.
Analyse complex data sets to identify trends, patterns, and insights that drive business decisions.
Develop and maintain data models, reporting systems, and performance metrics that support key business decisions.
Work closely with IT and data engineering teams to ensure data integrity and availability.
Facilitate workshops and meetings to gather requirements and present findings.
Utilize advanced data analysis tools and techniques to assess and improve business processes.
Create detailed documentation including data flow diagrams, business requirements, and technical specifications.
Support the implementation of data-driven strategies and initiatives that enhance customer loyalty and business growth.Essential Skills and Experience:

Proven experience in a Business Analyst role with a strong focus on data.
Expertise in data analysis, including experience with data visualization tools (e.g., Tableau, Power BI).
Strong proficiency in MS Office Suite, particularly Excel, and familiarity with data modelling tools.
Experience with SQL and database management systems.
Excellent analytical and problem-solving skills.
Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.
Ability to translate complex business requirements into clear and actionable technical specifications.
Familiarity with both Waterfall and Agile methodologies

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 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.