Senior Retail Analytics & Strategy Scientist

Fractal; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

Fractal in London is seeking a Senior Decision Scientist to shape our retail strategy. This techno-functional role blends data science with business operations, partnering with sales leaders, account managers, product teams and marketing to uncover insights that drive performance across omnichannel channels.

You will translate complex data into actionable recommendations for senior leadership, build dashboards, monitor KPIs, and identify growth levers such as pricing and promotional

Qualifications

• Retail operations, omnichannel sales, and wearables familiarity is a plus.
• Proficient in SQL and Python for data analysis and automation.
• Ability to translate data insights into business recommendations for executives.
• Strong written and verbal communication for senior stakeholders.
• Experience collaborating with cross-functional sales, product and marketing teams.

Responsibilities

• Translate complex data into clear, actionable insights for senior leadership.
• Build and maintain dashboards to track KPIs and real-time sales visibility.
• Apply quantitative analysis and visualization across the retail funnel.
• Collaborate with sales, retail ops, marketing and product to define use cases.
• Analyze store-level sales, conversion, inventory turnover, and customer segmentation.
• Identify growth levers like pricing, promotions and channel performance.
• Drive analytics process improvements through automation and tooling.

Skills

Retail domain knowledge

Business acumen

Communication

Collaboration

Data storytelling

Tools

SQL

Python

AI tools

Job description

Fractal in London is seeking a Senior Decision Scientist to shape our retail strategy. This techno-functional role blends data science with business operations, partnering with sales leaders, account managers, product teams and marketing to uncover insights that drive performance across omnichannel channels.

You will translate complex data into actionable recommendations for senior leadership, build dashboards, monitor KPIs, and identify growth levers such as pricing and promotional