Analyst Consultant - Defence

Winchester
2 days ago
Applications closed

Related Jobs

View all jobs

Business Analyst - Senior Consultant

Technical Business Analyst - Senior Consultant

Cost Analyst

Senior Credit Risk Modeller- Data Scientist

Data Analyst Trainee - Comprehensive Accredited Online Training (Hiring Immediately)

Data Analyst Trainee (Hiring Immediately)

Senior Analyst - Defence

Location – Winchester, Hants, Hybrid role

Salary - £40K-£75K plus bonus and benefits

Our client is looking for a positive, flexible self-starter to join their team as a Senior Analyst. This is an exciting opportunity to play a leading role in delivering analysis capability as an integral part of a small, agile and growing business.

Our client’s team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operational analysis are a key part of their company’s capability. They are growing this capability and are looking for a highly motivated and capable Senior Analyst.

As Senior Analyst your role will include:

  • Using operational analysis approaches to deliver impactful insights to their clients.

  • Taking a consultative approach to your work, understanding how your work contributes to delivering a great result for clients.

  • Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management.

  • Collating, managing, structuring, analysing, presenting, and visualising data.

  • Deriving unique insights from data to inform senior-level decision making.

  • Producing internal and external presentations and reports to summarise processes, findings, recommendations, and decision analysis results.

  • Delivering high quality analysis and outputs.

  • Taking a leading role in the day-to-day delivery of projects, working closely with clients and the company’s team of consultants and analysts.

    The role as a Senior Analyst will require a blend of working from the office, travel to client sites, and working from home.

    The company’s main clients will be based around key UK Defence establishments in the south of England.

    Experience /Qualifications – Senior Defence Analyst:

    The following skills and experience will enable you to excel in this role:

    • Operational analysis approaches and techniques

  • Advanced Excel skills , including VBA

  • Data analysis and data science

  • Experience working within UK MoD

  • Stakeholder engagement, requirements gathering and process design.

  • A self-starter and team player.

  • Good communication skills, enabling you to work confidently with team members and clients.

  • Strong organisational and time management skills, with the ability to multi-task and prioritise your work.

  • Attention to detail and the drive to see work through to completion.

  • A positive and flexible approach to your work.

  • Degree, MSc or equivalent experience

    Knowledge and experience of the following is desirable:

    • Decision making techniques and processes.

  • Operating models and organisational design.

  • Software development using Python.

  • Knowledge of current software development approaches, platforms and best practice.

  • Experience of Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions.

    • Additional information – Ideally looking for candidates with current UK SC or DV Clearance

      Keywords - Senior Analyst, Defence, MOD, Python, VBA, PowerBI, SharePoint, Microsoft365, PowerApps, Power BI , Advanced Excel, Data Analysis , Excel, Advanced Excel

      Senior Defence Analyst – Defence, MOD

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.