Data Analyst

Data Analyst

Full-Time 29288 - 29288 £ / year (est.) Remote
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At a Glance

  • Tasks: Analyse data, support client relationships, and drive continuous improvement initiatives.
  • Company: Join Bleckmann, a leader in supply chain management for fashion and lifestyle brands.
  • Benefits: Enjoy competitive salary, 33 days leave, life insurance, and health initiatives.
  • Other info: Inclusive culture with great career growth and exciting social events.
  • Why this job: Be part of a dynamic team making a real impact behind the scenes.
  • Qualifications: 2 years in logistics, strong analytical skills, and advanced Excel proficiency.

The predicted salary is between 29288 - 29288 £ per year.

Ready to Join the Backstage Crew?

At Bleckmann, we’ve been delivering on promises since 1862. As a market leader in supply chain management for fashion and lifestyle brands, we keep the show running behind the scenes — from moving boxes to moving data, from pack & ship to IT and HR.

But we’re not just logistics experts. We’re The Backstage Crew — a tight-knit team of 6,500+ people who make fashion and lifestyle brands shine by doing the work that matters most, out of the spotlight but never out of impact.

Whether you’re on the warehouse floor or behind a screen, you’ll find:

  • Strong connections with colleagues who support and celebrate you.

  • Fast growth in a company that’s expanding across Europe, the US, and Asia.

  • High energy in a dynamic environment where no two days are the same.

  • Guided freedom to take initiative, solve problems your way, and grow your career.

We believe in entrepreneurship, expertise, excellence, and engagement — and we live these values every day. From repairing returned goods to reducing waste, we help brands extend product lifecycles with sustainability in mind.

So if you’re ready to roll out the red carpet for our clients — and for each other — we’ve got a spot for you.

Behind the scenes is where the real excitement begins. Ready to join us?

This is a Permanent position working Monday to Friday covering the hours of 08:00 - 16:00, with flexibility required during peak periods. The role offers at £29,700 depending on skills and experience.

Key Responsibilities

  • Perform data entry, data retrieval, database maintenance, and compile regular operational reports.

  • Support the management of the relationship between Bleckmann and Amazon, helping to build and maintain a strong long-term partnership.

  • Monitor and analyse site KPIs, identifying performance issues and escalating breaches to relevant stakeholders.

  • Prepare Weekly Business Review (WBR) reports and support the creation of Monthly Business Reviews (MBRs) and Quarterly Business Reviews (QBRs).

  • Manage client expectations and ensure exceptional customer service remains at the forefront of all activities.

  • Collaborate closely with site management teams to improve stock accuracy, service levels, and the successful delivery of client-focused projects, including full physical stock counts.

  • Liaise with warehouse management to ensure operational readiness for volume fluctuations, promotional activity, peak trading periods, and other client-driven changes.

  • Lead and deliver continuous improvement initiatives focused on enhancing efficiency, quality, productivity, and capacity.

  • Provide support across the operation and undertake additional duties as required to support site and business objectives.

Skills & Experience Required

  • Minimum of 2 years' administrative experience within a logistics, warehousing, or supply chain environment.

  • Strong analytical and problem-solving skills with the ability to interpret operational data and trends.

  • Excellent verbal and written communication skills, with the confidence to engage with stakeholders at all levels.

  • Experience monitoring KPIs and supporting the implementation of continuous improvement initiatives.

  • Advanced Microsoft Excel skills, including reporting, data analysis, and manipulation of large datasets.

  • Ability to learn and develop expert-level knowledge of Warehouse Management Systems (WMS).

  • Strong organisational skills with the ability to manage multiple priorities in a fast-paced environment.

  • High attention to detail and commitment to accuracy.

What do we offer?

Our people are at the heart of what we do. They are critical to our clients successes and without a doubt, to our success also. This is why we offer a range of benefits including:

  • Competitive salary

  • 33 days annual leave, inclusive of Bank Holidays

  • Life insurance

  • Competitive pension scheme

  • Retail and Various Discounts via a Benefits Platform

  • Health and Wellbeing initiatives (EAP, OH, Wellbeing hub via a benefits platform)

  • Social Events

  • Exclusive Client Discounts

  • On site parking

Additional information:

We are proud to be an inclusive and diverse organization where we are committed to employee development and recognizing the successes of our teams. We are proud of our accreditations including Healthy Workplaces Leicestershire and we are Disability Confident Committed as part of the Disability Confident Scheme and actively welcome applications from people with disabilities.

At Bleckmann, we are guided by our values: We take a parachute and jump (Entrepreneurship), we unpack our knowledge (Expertise), we raise the bar with every box (Excellence), and we spark energy that connects (Engagement).

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Data Analyst employer: Bleckmann

As a CI Manager at our company, you will be part of a vibrant and inclusive work culture that prioritises employee development and well-being. With a competitive salary and an extensive benefits package including 33 days of annual leave, enhanced pension contributions, and health support, we ensure our team members are valued and supported. Located in a dynamic operational environment, you will have the opportunity to lead impactful continuous improvement initiatives while collaborating with diverse stakeholders, making this role both meaningful and rewarding.

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Contact Details:

Bleckmann Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Bleckmann!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Bleckmann.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Bleckmann.

✨Apply Directly through Our Website

When you find a suitable opening like Data Analyst at Bleckmann, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Analyst

Data Entry
Data Retrieval
Database Maintenance
Operational Reporting
KPI Monitoring
Analytical Skills
Problem-Solving Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Bleckmann, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bleckmann. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Bleckmann

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Bleckmann!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.