Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Inventory Management Data Analyst

Christchurch
7 months ago
Applications closed

Related Jobs

View all jobs

Field Data Analyst

Data Analyst

Business Data Analyst

Job Title: Inventory Management Data Analyst

Location: Christchurch, Dorset

On site / Full-time / Permanent

Salary: DOE

Job Summary:

We're looking for a detail-oriented Inventory Management Data Analyst to optimise stock levels, forecast demand, and enhance our global supply chain. You'll analyse sales trends, minimise stockouts, and collaborate with Operations and Logistics teams to drive efficiency. If you have strong analytical skills, experience in inventory management, and a proactive mindset, this role offers the chance to make a real impact in a fast-growing, dynamic environment.

Key Responsibilities:

Forecasting: Use historical data, market trends, and sales patterns to predict future product demand across different regions and channels.
Inventory Management: Monitor stock levels to ensure a balance between supply and demand, working to minimise stockouts and excess inventory.
Data Analysis: Analyse sales data and inventory performance to generate actionable insights, adjusting forecasts based on actual performance.
Collaboration: Work closely with the Operations and Marketing team members to ensure forecasts align with production and shipping schedules.
Reporting: Regularly update key stakeholders with reports on stock performance, forecast accuracy, and areas for improvement.
Process Improvement: Proactively identify inefficiencies in current stock control systems and suggest enhancements to optimise our operations.
Market Insights: Stay informed on market trends, seasonal changes, and customer demands to ensure our forecasts align with external factors.What we're looking for:

Experience: Minimum of 2-3 years of experience and a Degree in Business, Mathematics, Statistics, Data Science or other quantitative discipline.
Analytical Skills: Ability to analyse complex data, identify patterns, and make data-driven decisions - preferably in fields related to inventory management within a global, e-commerce-driven business.
Attention to Detail: Ability to spot potential stock issues before they arise and take corrective action.
Communication: Strong communication skills to interact with cross-functional teams and stakeholders at all levels.
Tech-Savvy: Familiarity with inventory management systems and forecasting software; strong experience with Excel is a must, proficiency with SQL, dbt, Python or R is a strong plus.
Proactive & Problem-Solving Mindset: You'll need to be proactive in identifying issues and finding solutions to streamline our operations and support our rapid growth.
Global Perspective: Experience in working with international markets is a plus, and understanding how to manage stock in a global supply chain is a key advantage.Why this role is exciting:

This role offers the chance to shape a fast-growing global supply chain, ensuring products reach customers seamlessly. You'll work with cutting-edge data, influence decision-making, and collaborate across teams to optimise inventory strategies. With opportunities to drive process improvements, expand into new markets, and make a tangible impact on efficiency, this is an exciting opportunity for an analytical thinker eager to solve challenges in a dynamic, high-growth environment.

Benefits:

Exciting travel opportunities and 'money can't buy' experiences.
An opportunity to be part of a passionate, innovative, and fast-growing company.
Work with a diverse team of experts in sports science, nutrition, and tech.
The chance to contribute to the development of a company making a real impact in the world of sports.INDCP

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.