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

Nominate & Attend

Business Analyst

Radford Semele
1 week ago
Create job alert

Business Analyst

Salary 40k-50k per annum 
Private Medical Insurance
Dental Insurance
Life Assurance
Royal London Pension
25 holiday days + bank holidays
Flexible hours as long as the core hours between 10 am and 4 pm are covered.
We’re recruiting a dynamic and detail-driven Business Analyst to join a fast-paced, collaborative team based in Radford Semele. If you're passionate about streamlining processes, uncovering insights through data, and delivering real business value — this role is for you.

About the Business Analyst Role:

As a Business Analyst, you’ll work across functions to identify, analyze, and document business requirements, processes, and workflows. Your mission: drive efficiency, eliminate waste, and support smarter decision-making through data and Lean principles. You’ll collaborate with stakeholders at all levels, turning business needs into practical, value-adding solutions.

Key Responsibilities of a Business Analyst:

Work closely with stakeholders to understand their pain points and identify opportunities for improvement.

Gather and document business requirements via workshops, interviews, and analysis.

Create clear, actionable functional and non-functional specifications.

Apply Lean tools such as value stream mapping to pinpoint inefficiencies.

Design future-state processes that improve effectiveness and cut waste.

Champion solutions with a measurable ROI and business value.

Collect and interpret business data to uncover patterns, trends, and actionable insights.

Build dashboards and reports to monitor KPIs and process improvement outcomes.

Leverage data to support key business decisions and continuous improvement.

Build strong relationships across departments and levels of seniority.

Communicate clearly with both technical and non-technical audiences.

Facilitate workshops and meetings to extract and present insights.

Produce clear and concise process documentation (flows, SOPs, user guides).

Recommend and support automation and optimisation opportunities.

Help implement changes and monitor impact.

Comfortable working in both Agile and Waterfall project environments.

Requirements of Business Analyst:

A degree in Business, Information Systems, or a related discipline.

Previous experience in a Business Analyst role, ideally with Lean methodology exposure.

Analytical, detail-focused, and results-oriented mindset.

Strong communication and interpersonal skills.

Familiarity with business analysis tools (process mapping, data analytics, etc.).

Ability to work both independently and collaboratively.

Eagerness to learn quickly and adapt to new industry sectors.

INDL

Related Jobs

View all jobs

Business Analyst

Business Analyst

Business Analyst

Business Analyst

Business Analyst

Business Analyst

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.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.