Senior Analyst Consultant

Winchester
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst - Marketing

Data Analyst - Excel & Operational insight

Senior Data Engineer

Senior Data Engineer

Senior Data Analyst

Senior Systems and Data Analyst (Grade L)

Senior Analyst Consultant - 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 our office and travel to client sites
    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.
    Recent UK Defence Security Clearance (SC) would be of interest but is not essential.
    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 Analyst Consultant – Defence, MOD

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.