via indeed · 1 June 2026 ·4 days ago

Graduate Data Analyst

Cosy Direct
Burton-On-Trent Full-time
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Graduate Data Analyst
Location: Onsite
Full\-time \| Competitive Salary \+ Benefits

About Us

Cosy is a leading international supplier and developer of educational resources for schools and nurseries. We're not your average company—we're proudly unique. Our innovative and sustainable product range helps children learn through play, while our low\-carbon supply chain supports the planet. We source natural and upcycled materials and deliver thousands of high\-quality, value\-for\-money products to tens of thousands of customers every year.

We’re also proud to be double King’s Award winners, recognised for both Sustainability and International Trade \- a testament to our commitment to responsible business and global impact.

Cosy gives back too. We donate 10% of our profits annually to the Cosy Foundation, supporting charities and projects that impact thousands of children’s lives each year.

Founded in 2011, Cosy has rapidly evolved into a leading global brand. We’re in a period of significant growth, and we’ve built a dynamic, passionate team. We are working hard to make Cosy one of the very best places to work in the UK.

The Role

We’re looking for a Graduate Data Analyst to join Cosy and help shape how we use data across the business.

This is a hands\-on role with real exposure from day one. You’ll work closely with our Data Scientist while playing a key part in how we understand performance, make decisions and improve how we operate.

You’ll build dashboards, explore data, spot patterns and help turn numbers into clear, useful insight. You’ll collaborate with teams across marketing, sales, operations, finance and leadership — translating data into something people can actually use.

We’re after someone who’s curious, thoughtful and comfortable asking “why?” — someone who enjoys bringing clarity to complexity and communicating it in a simple way.

We’re also interested in people who are excited about how modern tools — especially AI — are changing how we work with data.

What You’ll Be Doing

· Reporting \& dashboards \- Designing and maintaining Power BI dashboards used across the business to track performance and answer key questions.

· Data analysis \- Writing SQL queries and exploring datasets to uncover trends, patterns and opportunities.

· Working with teams \- Partnering with colleagues across the business to understand what they need from data and helping them use it to make better decisions.

· Python \& automation \- Using Python where it makes sense — for cleaning data, automating tasks and diving deeper into analysis.

· Turning insight into action \- Identifying what matters in the data and helping shape clear, practical recommendations — not just reports.

· Improving how we work \- Looking for smarter ways to handle data, including using modern tools, automation and emerging AI workflows.

What we’re looking for

Essentials

· A degree in a relevant field (e.g. Data Science, Maths, Computer Science, Economics or similar)

· Strong analytical thinking and problem\-solving skills

· Experience with Power BI (dashboards, visuals, basic DAX/Power Query)

· Solid SQL skills and understanding of databases

· Comfortable using Python for analysis or scripting

· Strong Excel skills

· Clear communication — both written and spoken

· A proactive, self\-starting mindset

· Good attention to detail

Nice to have

· Internship, placement, or project experience with data

· Experience with e\-commerce, retail, or marketing data

· Exposure to cloud tools or modern data platforms

· Interest in AI, automation, or improving workflows

· Experience using tools like ChatGPT, Copilot, Claude, Cursor etc.

· A habit of keeping up with new technology

· A portfolio, GitHub, or examples of your work

Who you are

You’re early in your career but already comfortable working with data. You enjoy figuring things out, asking good questions, and getting to the bottom of how things work.

You like turning messy or complicated information into something clear and useful. You’re confident sharing ideas with people who aren’t technical, and you’re keen to take ownership of your work.

You’re also naturally curious about new tools and ways of working — and interested in how technology, especially AI, is changing what’s possible.

Why Join Us?

You’ll join a supportive team where your work has a direct, visible impact every day. We offer structured support to help you grow your career, clear scope so you know exactly how to succeed, and a professional environment that actually remembers to have fun.

The Good Stuff (Perks!) We believe that happy employees change the world. Here’s how we look after you:

  • Celebrate You: Take your Birthday off, completely paid!

  • Give Back: Paid volunteering days for causes close to your heart.

  • Level Up: Training and development tailored specifically to your dreams.

  • Green Commute: Free on\-site parking with EV charging.

  • Stay Well: Full support via our Employee Assistance Programme.

  • Have Fun: Regular social events to let your hair down with the team.

  • Furry friends: Well behaved fur friends that woof may accompany you in our Cosy office.

  • Serious Relaxation: We take holidays very seriously. You can buy a week's extra annual leave if you need more sun! Plus, loyalty pays off—once you reach 2 years, you accrue 1 extra day per year (up to 30 days total).
Our Commitment to Inclusion
  • We hire based on talent, potential, and attitude. We believe every voice deserves to be heard and every individual deserves a fresh start and a fair chance.

  • Age Friendly Employer: We welcome candidates of all ages and career stages. Experience comes in many forms, and we value the diverse perspectives that different generations bring to our team.

  • Ex\-Offender Friendly: We are proud to be an ex\-offender friendly employer. We assess every candidate on their skills and capability for the role, providing fair chances to individuals looking to rebuild their lives and careers.
Benefits:
  • Additional leave

  • Company events

  • Cycle to work scheme

  • Free parking

  • Life insurance

  • On\-site parking

  • Paid volunteer time
Work Location: In person

The market for this type of role

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