Data Analyst (Data Science)

MandM Direct
Herefordshire
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

About The Role

Data Analyst (Data Science)


Hereford, England, United Kingdom 


Type: Permanent


Working Pattern: Onsite/hybrid (3days on site)


Who Are We?


MandM is one of the biggest employers in Herefordshire and one of Europe’s leading online, off-price retailers, selling branded Fashion, Sport & Outdoor products for Men, Women and Children.


We offer our customers fantastic value by partnering with companies who we have built long term relationships with, enabling us to offer our customers big household names and up-and-coming brands, giving fantastic value all year round. 


We are located in the heart of Hereford City Centre in our brand new, state of the art office. The modern, stylish workspace was designed to encourage collaborative working, teamwork and creativity - everything that MandM is all about.


As our business continues to grow we are recruiting for a talented Data Analyst to join our growing team.Why not come be a part of our journey to success and take advantage of all MandM can offer you! 


The Role Scope


The Data Analyst will generate actionable insights for all business departments by leveraging the company’s extensive data. They will manage the company wide BI platform and apply their data analytics expertise to create reports, dashboards, and insights that support colleagues across departments. ✨Role Key Responsibilities

Perform ad-hoc project analysis and decision support across a wide variety of business projects spanning Marketing, IT, Operations and Finance.

Maintain a business intelligence platform and all reports within, ensuring the correct definition of company metrics and the integrity of all connected data.

Work and develop ways to utilise AI tools such as Gemini in the Data Team processes, such as analytics AI agents.

Be an expert on our data – continually search for valuable insights within the information that we store and pass these findings on to key stakeholders.

Maintain and optimise the structure of data to assist all members of the data team in their work.

Work alongside other members of the data analytics team sharing and adopting ideas and best practice.

Proactively and continuously improve processes, systems and documentation.

About You

About You

✨Skills / Competency

A high level of numeracy with a good eye for detail.

Experience with SQL or python on large datasets would be beneficial.

Experience with BI Reporting using tools such as Looker or PowerBI would be beneficial.

Strong communication and organisational skills.

A detailed and logical thinker with excellent analytical skills.

Must be able to present data in an easy to understand format to a variety of different audiences.

Working to their own initiative to identify and solve problems.

Suggest changes to current processes to improve service levels and performance.

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.