Buyer

Sheffield
1 week ago
Create job alert

Established Buyer | High Performance Brand | Beauty Industry | Yorkshire | Hybrid Working | Circa £40,000

A dynamic business that has more than doubled in revenue over the past year, and is scaling quickly as they look ahead to even bigger plans. To support this incredible growth and ensure they continue on their trajectory, they are seeking a seasoned, commercially-driven Buyer who can strategically shape product ranges, drive key negotiations, and help lead the business to new heights.

Key Requirements:

Prepare and present lessons learned and key strategic insights to Senior Management, ensuring alignment across all teams and driving continuous improvement.

Identify the best and worst indicators, and ensuring these are communicated clearly to the wider team to drive success.

Take full ownership of your categories and be accountable for both performance and day-to-day trading.

Collaborate internally to review and build clear pricing architectures, plan seasonal buys, and design balanced product ranges that resonate with the customer.

Spot gaps in existing product offerings and react quickly to emerging opportunities, ensuring the business stays ahead of the curve.

Push for continuous innovation within the product range-challenging the team to introduce new colours, prints, shapes, and styles while protecting best sellers.

Build and maintain strong supplier relationships, ensuring the onboarding of new suppliers, and identify opportunities for more sustainable fabric sourcing.

Drive newness and profitability through effective test and trial methods, using both historical and current data to support commercial decisions.

Deliver exceptional trading performance at both margin level and cash sales, always looking for ways to improve profitability and efficiency.
Work closely with your merchandiser to manage OTB, seasonal budgets, and forecasts, ensuring we stay on track to meet key business objectives.
Oversee the critical path and delivery schedule, ensuring product launches happen on time and with maximum impact.

Lead cross-costing projects that protect and improve margin, driving sustainable growth in a competitive market.

Skills & Experience:

Extensive experience in category management, with a strong understanding of trading and merchandising principles.

A track record of driving profitable growth in high-performance teams, ideally in the retail or fashion industry.

Strong negotiation skills, with a commercial mindset and the ability to balance creative and business needs.

Experience in working with Far East suppliers.

Proven success with OTB, budget management, margin protection, and delivering results from a trading perspective.

The ability to lead cross-functional teams, oversee critical paths, and ensure timely product launches.

A deep understanding of data analytics and performance reporting to inform strategic decision-making.

We're looking for someone with proven experience in trading, strategic range building, and category management within a fast-paced, high-growth environment. If you're a strong negotiator, strategic thinker, and a results-driven leader ready to join an ambitious team that's scaling rapidly, we want to hear from you.

BBBH33175

Related Jobs

View all jobs

Buyer

Buyer

Senior Buyer

French Speaking Finance Analyst

Enterprise Sales Director, UK & Europe (Basé à London)

Senior Sustainability Coordinator

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.