Business Analyst

Roke
Woking
1 year ago
Applications closed

Related Jobs

View all jobs

Business Analyst Investments Data Strategy 12 Month FTC

Business Data Analyst

Business Data Analyst

Business Data Analyst – Data Acquisition and Insights

Data Analyst Placement Programme

Data Analyst Career Path: Entry-Level Training & Placement

As a Business Analyst, you will have a track record in eliciting requirements to support the development/procurement of cutting edge services; to help Roke’s National Security customers craft mission critical services to meet their needs.

You’ll be a client facing Business analyst and there are multiple opportunities available depending on your existing experience, career aspirations and customer need. Operating in a business analysis capacity, you’ll be engaged on some of the most cutting edge and complex technology programmes in mission critical environments.

Working alongside a wealth of specialists including other business analysts, architects, data scientists and software engineers. Your programmes will vary from rapidly prototyped research right through to high grade enterprise systems.
 
Roke are a leading technology & engineering company with clients spanning National Security, Defence and Industry; working alongside our customers to solve their complex and unique challenges by bringing the physical and the digital together. 
 
The Key Requirements... 

Demonstrable experience operating in a business analysis or consultancy capacity within the National Security Domain A history of working successfully within multi-disciplinary teams Able to operate as the bridge between clients, stakeholders, technical and non-technical teams Comfortably able to extract client requirements, ensuring business and technological benefits are clearly defined and quantified as outcomes  Able to implement consultancy and analytical approaches with business and customer goals, identifying benefits and approaches to managing dependencies and mitigating risk Operate within the technical solution/development team, assisting with best practice and development of technical solutions for clients Support business development through account and project managers to win new work.

 
Built over a 60-year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act – through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe – that’s our mission, passion, and motivation. 
 
Joining a team united by purpose and ambition, you’ll be at the heart of an exciting growth journey: having doubled in size over the last 4 years, we intend to double our headcount by 2027. At Roke, every individual counts. We push technical boundaries, together. We re-invest in product innovation, and we empower our people to make a difference. 
 
Where you’ll work… 
You’ll find our Woking site in a modern building on the outskirts of London. Rated excellent for sustainability by BREEAM & Fitwel certified – you’ll feel better for visiting. This site provides key links to our customers in London, is a 5 minute walk from the train station, has secure parking nearby and dedicated cycle storage. 

This is a client facing role, which will require time spent on site with Roke’s customers, predominantly in London.
 
Why you should join us... 
Operating as one Roke, there is a shared belief that everyone has a responsibility to create an environment that encourages you to bring your whole self to work; in a place where everyone has the time, trust and freedom to succeed. 
 
We are committed to a policy of Equal Opportunity, Diversity and Inclusion, enabled by our employee led resource groups of Women In Roke, Neurodiversity, Inspire (LGBT+) ME (Majority Ethnic), Veterans and Disability; which each contribute to making Roke a great place for people from all backgrounds to work.
 
Mental health and wellbeing is also important to Roke, there is a group of supportive Mental Health First Aiders to lend a listening ear for anyone who needs it; alongside a team of Mental Health First Aid Champions who help build a mentally healthy workplace, challenge stigma and support positive wellbeing. 
 
The Benefits and Perks...

Flexi-time: Working hours to suit you and your life  Annual bonus: Based on profit share and personal performance  Private medical insurance: Includes cover for existing conditions  Holiday: 25 days plus public holidays and your birthday off  Chemring Share Save: Monthly savings into a 3 or 5 year plan. 

 
Clearances… 
Due to the nature of this role, we require you to be eligible to achieve DV clearance. As a result, you should be a British Citizen and have resided in the for the last 10 years. 
 
The Next Step... 
Click apply, submitting an up-to-date CV. We look forward to hearing from you. 
 
 

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.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.