Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Analyst

Osprey Engineering Solutions
Milton Keynes
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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

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.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.