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Pricing Analyst
Описание вакансии
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TL;DR
Pricing Strategy Analyst (e-Commerce): Supporting the global pricing strategy for a luxury fashion marketplace with an accent on improving price competitiveness and profitability. Focus on collaborating with cross-functional teams to enhance pricing algorithms, develop features, and deliver data-driven insights.
Location: Hybrid (3 days a week from the office, 2 days from home) in London, UK.
Company
is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from more than 1,400 brands and boutiques.
What you will do
- Contribute to high-impact commercial initiatives that improve price competitiveness and profitability.
- Provide insights to Brand Partnerships, Business Development, and Account Management teams.
- Collaborate with Data Science on enhancing the pricing algorithm and testing new features.
- Assist Merchandising in translating pricing insights into product decisions.
- Partner with Finance to help validate forecasts and track pricing initiatives.
- Work with Product & Engineering teams to develop features supporting partner pricing and customer experience.
- Support in delivering data-driven insights to inform pricing and commercial strategy.
- Help maintain and develop pricing tools, dashboards, and processes.
Requirements
- Experienced in Analytics, e-Commerce, or Consulting.
- Proven ability to work with and analyse large datasets: advanced Excel, SQL, and Bigquery required.
- Highly organised with exceptional attention to detail.
- A self-starter with strong curiosity, a growth mindset, and a keen interest in pricing and commercial strategy.
- Confident collaborating across cross-functional teams and supporting stakeholder discussions.
- Excellent communicator, skilled at preparing and delivering insightful reports and strategic recommendations to senior leadership.
Nice to have
- Knowledge of the fashion and luxury industry.
Culture & Benefits
- Employee Pension Scheme.
- Flexible Benefits Program.
- Health Insurance & Critical Illness cover.
- Flexible work environment with a hybrid model (3 days a week from the office, 2 days from home).
- Equal opportunities employer.
Hiring process
- Artificial intelligence (AI) tools may support parts of the hiring process, but final hiring decisions are ultimately made by humans.
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