National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Technical Business Analyst

Fawley, Hampshire
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Business Process Analyst

Buissness analyst

Business Analyst

Business Analyst, Seller Compliance - Data Engineering & Analytics

Senior Data Analyst

Technical Business Analyst
Location: Southampton, Hampshire (SO45)
Salary: £34,541 – £38,245
Contract Type: Permanent & Fixed-Term (24 months)
Department: Corporate Resources, S151 and Transformation – ICT

About the Role
We are seeking an experienced Technical Business Analyst to join our ICT team at. This is a critical role in our digital transformation journey, providing technical expertise and analytical insight to help modernise services, improve the customer experience and increase operational efficiency.

You will lead the analysis and modelling of business processes, systems, and data across various digital projects and programmes. By identifying opportunities for innovation, you will play a key role in driving improvements in service delivery, reducing waste, and enabling effective use of digital technology.

Key Responsibilities

Lead investigations into business challenges and opportunities to propose digital solutions.

Model and analyse current and future state processes, systems, and data.

Collaborate with service managers and project teams to identify improvement opportunities.

Translate business requirements into technical specifications.

Coordinate user acceptance testing and quality assurance.

Lead workshops involving ICT, internal teams, and external suppliers.

Support the implementation of cloud and on-premises digital platforms.

Act as a key link between business stakeholders and technical teams.

Champion change and promote the use of digital technologies across the council.

About You
You are a problem solver with strong analytical and technical skills, capable of managing complexity and navigating change. You can communicate confidently with technical and non-technical stakeholders and are committed to continuous improvement and customer value.

Essential Requirements

Industry-recognised qualification in Business Analysis or equivalent (e.g. BCS, PMI, Agile, Lean Six Sigma), or working towards one.

Proven experience as a technical business analyst within an ICT environment.

Strong grasp of business analysis techniques and the software development lifecycle.

Experience documenting functional and non-functional requirements.

Strong problem-solving and communication skills.

Experience working with cloud-based systems and digital technologies.

Familiarity with the full change lifecycle, including business case development and benefits realisation.

Desirable Experience

Knowledge of digital transformation principles.

Experience with business intelligence or data analytics tools.

Understanding of cloud platforms (e.g. Azure).

Background in business process improvement.

Additional Information

This is a hybrid role, requiring 50% office presence.

Occasional weekend or out-of-hours work may be required.

The role reports to the Senior Technical Business Analyst.

Safeguarding responsibilities apply, and relevant training will be provided.

Why Join Us?
You’ll be part of a forward-thinking council with a commitment to digital innovation and public service excellence. This is a fantastic opportunity to influence and shape the digital future of Southampton’s services

National AI Awards 2025

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.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.