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

Nominate & Attend

Data Analyst

Osprey Engineering Solutions
Milton Keynes
1 month ago
Create job alert

Were looking for a data analysis professional to step into a newly created role with a globally successful company and leading expert in automation. Working as a Data Analyst, youll take ownership of the CRM and other customer data, producing meaningful analysis and insights to adjust the companys approach to market. The Data Analyst will also look to clean the existing data, developing best practices for data cleaning and quality control, to eliminate further data contamination.


Ultimately, were looking for someone who can evolve and mould this role to become the companys business information expert, to support the Sales Departments with actionable data insights to drive the business forward.

Key Duties & Responsibilities

Work with the Sales HQ manager and Sales Director to create a wider plan to provide valuable data analysis


Analyse customer spending patterns, sales activity, product sales and pricing anomalies
Become the companys expert in CRM (Customised Sugar CRM) gaining a deep understanding so that insightful reports can be created for the sales management team and product managers
Use industry sales information to predict sales trends
Use company data to predict margin and discount trends
Create a deep understanding of customer coding and other data base segmentation codes (Industry, Share, SIC etc.)
Develop methods to give insightful information, to be used by management teams to monitor and increase productivity and sales
Provide segmentation and information to Marketing to increase effective campaigns and data insights into customers

Essentials Skills & Experience

Degree or HNC/D in business information systems, information management or related computer science qualification, plus English Language & Mathematics GCSE (or equivalent)


Minimum of 3 years professional experience in data analysis or business information management, working with customer databases, analysis and cleaning of data used to give business insights
Good communication and presentation skills
Possess a basic commercial understanding of business
Some basic HTML coding knowledge
Advanced level Microsoft Excel & Microsoft Access
Cross departmental communication skills and experience of multi stakeholder communications
Ability to work independently, managing your time to meet deadlines
Willingness to learn, especially about SMC

Desirable Skills & Experience

1st Class or Masters Degree, English Lang. Maths GCSE/A-Level grade A, or any other qualifications to support Information Systems or Data analysis


Logical/creative thinker, problem solver with ability to think conceptually
Ability to understand the importance of metrics to gauge success of projects
Play a willing part of a Team which has diverse responsibilities within the business
Sugar CRM experience and data management including validation, data matching and quality control

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data 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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

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.