Data Analyst

Stanton by Bridge
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Location: Derbyshire

Salary: Up to £30,000 per annum

Hours: 37.5 hours per week, full-time, permanent, Office based.

Are you a Data Analyst who enjoys turning raw data into insight that drives business decisions? Do you have strong Excel skills, experience working with an ERP system, and a keen eye for detail? If so, this could be the perfect next step for you.

This is a fantastic opportunity to join a forward-thinking organisation based in Derbyshire, offering exposure across both operational and commercial data functions. You’ll play a key role in ensuring accurate, efficient, and insightful reporting across multiple departments.

The Role

As a Data Analyst, you will:

Collect, validate and prepare data from different business systems to create clear and accurate reports.

Maintain and enhance data integrity across ERP systems such as AX, SL or similar.

Build and develop dashboards and reports using Power BI and advanced Excel techniques (formulas, pivot tables, lookups, etc).

Support the automation of manual reporting processes to improve efficiency and reliability.

Partner with colleagues across operations, retail, and manufacturing to ensure consistent reporting and analysis.

About You

We’re looking for someone who can bring a mix of technical skill and business understanding. You’ll need to have:

Strong Excel experience (formulas, pivot tables, data transformation).

Hands-on experience with an ERP system (AX, SL or similar).

Working knowledge of Power BI or a similar reporting tool.

Excellent attention to detail and a methodical approach to data accuracy.

Confidence handling and interpreting large datasets.

A collaborative mindset with clear communication skills across technical and non-technical teams.

Why Apply?

This Data Analyst role offers the chance to work in a supportive environment where data and insight are at the heart of decision-making. You’ll be encouraged to bring new ideas, streamline reporting, and help shape the way the business uses data.

If you’re an analytical thinker who loves working with systems, spreadsheets, and dashboards — and you’re looking to grow your career as a Data Analyst, Reporting Analyst, or Business Data Analyst - we’d love to hear from you.

Please note - this role is OFFICE BASED so only applications from candidates who live in the Derbyshire/Nottinghamshire area.

Apply today to take the next step in your data career.

EMA25

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.