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

Nominate & Attend

Data Analyst

Carisbrooke
2 weeks ago
Create job alert

Berry Recruitment are currently looking for a Data Analyst to join our client in the Isle of Wight.

Working Hours: Monday - Friday, 8am - 4pm
Contract Length: Initial 3 month contract with the opportunity to go permanent for the right person
Salary: £15.38 - £16.92 per hour, permanent equivalent salary £30,000 - £33,000 per annum

Data Analyst

Berry Recruitment is recruiting for a Data Analyst to support performance reporting and continuous improvement across our Isle of Wight operations. This role is responsible for collecting, validating, analysing, and presenting data to support the delivery of contract objectives and compliance reporting.

Key Responsibilities:

Support the collection, validation, and presentation of operational data using spreadsheets, databases, and reporting systems.
Ensure the accuracy and quality of performance data to meet internal and external reporting requirements.
Analyse performance trends and identify areas for improvement, providing reports to managers and other stakeholders.
Support statutory and contractual reporting, including key performance indicators (KPIs) and service compliance.
Work with operational and compliance teams to support performance improvement activity.
Assist in the preparation of internal reports and dashboards, ensuring data is clearly presented and accessible.Essential Skills and Experience:

Strong IT skills, particularly Microsoft Excel (including data handling and presentation).
Good analytical and problem-solving skills with strong attention to detail.
Experience working with large datasets or operational performance data (desirable).
Effective communication skills, including the ability to present information clearly to different audiences.
Ability to prioritise tasks and work to deadlines.Qualifications:

Evidence of qualification or equivalent experience in data analysis, mathematics, statistics, or a related discipline.
This role may suit someone currently working in a data or administrative function who is looking to develop their skills further in performance analysis and reporting.If this role is of interest please apply now, all applications are reviewed daily. Alternatively, please call Daisy on (phone number removed) or Lauren (phone number removed) on to discuss.

Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.