Senior Operational Analyst

Winchester
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst - Excel & Operational insight

Senior Data Analyst

Business / Data Analyst

Data Analyst SystmOne

Business Intelligence Analyst (Forecasting/Planning Analytics)

Data Analyst SystmOne

Senior Operational Analyst - Python, Modelling, Software Design, Advanced VBA & Excel, Power Apps, Power BI
Salary - £40K-£75K plus bonus and excellent benefits
Location – Winchester Hants, Hybrid role
Our client has an exciting opportunity to join our growing management consultancy, with an enviable reputation and senior level client base. They have a strong track record in UK MOD and government.
They value their people and believe in building everyone’s capabilities and strengths to help them reach their full potential.
The Opportunity – Operational Analyst/Consultant
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 operational analysis capability as an integral part of a small, agile, and growing business.
Their 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 the Company’s capability. They are growing this capability and are looking for a highly motivated and capable Senior Analyst.
As Senior Operational Analyst your role will include:

  • Designing, developing, and running analysis models.
  • Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management.
  • Collating, managing, structuring, analysing and visualising data.
  • Deriving unique insights from data to inform senior-level decision making.
  • Taking a leading role in the day-to-day delivery of projects, working closely with our clients and our team of consultants and analysts.
  • Taking a consultative approach to your work, understanding how your work contributes to delivering a great result for our clients.
  • Developing strong relationships with the wider Company’s team.
  • Our UK office is based just outside Winchester. The role will require a blend of working from our office, occasional 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.
    Skills/Qualifications – Senior Operational Analyst/Consultant:
  • Software development using Python.
  • Advanced Excel, Data analysis skills
  • Advanced VBA skills
  • Operational Analysis (OA) approaches and techniques
  • Strong mathematical skills
  • Requirements gathering
  • Software design
  • Strong data analysis skills
  • Highly numerate
  • 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.
  • Educated to Degree level , MSc or equivalent.
    Knowledge and experience of the following is desirable:
  • Experience working within UK MoD
  • UI/UX design
  • Discrete event simulation
  • Data science techniques
  • Knowledge of current software development approaches, platforms, and best practice.
  • Experience of designing and deploying Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions.
    Experience working with Defence Digital, DE&S, Dstl, Frontline Commands or UK Defence industry would be ideal .
    Recent UK Defence Security Clearance SC or DV would be of interest.
    Keywords – Operational Analyst, Operational Analysis, OA, VBA, Python, Microsoft365, PowerBI, Dataverse, PowerApps, Advanced Excel, UI/UX design, Simulation, Modelling, Data Science, Requirements Gathering, Software Design , MOD Defence, Agile, UK MoD, Government , Modelling, Simulation, Numeracy, Advanced VBA, Advanced Excel , Power Apps, Dstl, Defence Digital, Frontline Command, Defence
    Senior Operational Analyst – Operational Analysis, Python, Modelling, Software Design , Power Apps, Power BI

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.

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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.