Data Analyst

The Range
Plymouth
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Overview

We are a Sunday Times Top Track 100 company and one of the UK\'s fastest growing privately owned companies. The Range has grown enormously since its inception in 1989, and now has over 200 stores nationwide. People are at the heart of our retail concept, and we want to invest in our staff and make the future extraordinary.

As a result of our expansion plans, and our continued ongoing success we are seeking a dynamic Data Analyst to be based at our Head Office in Plymouth.

Responsibilities

Support data-driven decision making across the business by producing insightful analysis, building dashboards, ensuring data integrity, and identifying issues and opportunities within operational processes.

  • Design, build, and maintain dashboards and reports (primarily in Power BI) to provide clear, actionable insights for stakeholders.
  • Query and manipulate data using SQL to support analysis, investigations, and reporting needs.
  • Conduct deep-dive analysis to identify trends, issues, and opportunities, providing meaningful recommendations to support informed decision-making.
  • Ensure high standards of data integrity within the department by validating data, identifying inconsistencies, and recommending or implementing corrective actions.
  • Analyse and document business processes, ensuring an understanding of how data flows through systems and how processes impact performance.
  • Identify data or process issues, investigate root causes, and propose practical, data-driven solutions.
  • Communicate insights clearly through storytelling, visualisation, and well-structured analysis.
  • Collaborate with cross-functional teams to understand information needs and translate them into analytical outputs.
Person Specification
  • SQL proficiency, with experience querying, joining, and transforming data.
  • Strong Power BI skills, including data modelling and report/dashboard creation.
  • Experience with DAX, Power Query, and advanced Excel techniques.
  • Ability to understand and map business processes, identifying gaps and opportunities for improvement.
  • Strong analytical skills with the ability to interpret data, identify patterns, and draw meaningful conclusions.
  • Excellent attention to detail with a commitment to data accuracy and quality.
  • Ability to communicate insights effectively.
  • Experience working with large datasets or within a data-focused environment is a bonus.
Knowledge And Skills
  • Degree in a business-related subject (e.g., Business Analytics, Business Management, Economics or similar).
  • High attention to detail and a structured approach to problem-solving.
  • Curious, analytical mindset with a passion for understanding data.
  • Strong stakeholder communication and interpersonal skills.
  • Proactive and able to take ownership of issues from identification to resolution.
  • Adaptable, collaborative, and comfortable working in a fast-paced environment.
What We Offer
  • Competitive salary
  • Pension
  • Long service awards
  • Employee discount
  • Cycle to work scheme

Position: Permanent, Full-time

Hours: Monday to Friday, 08:45 am – 17:30 pm.

Location: Plymouth, Devon


#J-18808-Ljbffr

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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

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.

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.