Pricing & Promotions Analytics Lead

Harnham; Greater London; Hybrid; GBP 63,000 - 77,000; Full time

Job summary

Harnham is seeking a Lead Analyst to drive pricing and promotions analytics in London. The role combines ownership of high-impact projects with collaboration across senior stakeholders to shape pricing, promotions, range optimisation and trading performance.

You will lead end-to-end analyses, deliver actionable commercial insights, and guide analysts while advancing the analytics capability within a consumer-facing organisation. Hybrid working with strong data-driven impact.

Qualifications

• Advanced SQL and Python experience with commercial data.
• Ability to forecast, model and measure performance.
• Proven track record translating analytics into business recommendations.
• Experience leading analytics projects and managing stakeholders.

Responsibilities

• Lead end-to-end analytical projects from challenge to recommendation and implementation.
• Deliver commercial insights across pricing, promotions, product performance and trading.
• Apply forecasting, regression, clustering and elasticity modelling.
• Partner with stakeholders across functions to identify opportunities for optimisation and growth.
• Create dashboards, reports and presentations to support data-driven decisions.
• Mentor analysts, championing best practices in analytics and coding quality.
• Contribute to analytics strategy and continuous improvement initiatives.

Skills

SQL

Python

Forecasting

Statistical modelling

Stakeholder management

Data storytelling

Data governance

Job description

Harnham is seeking a Lead Analyst to drive pricing and promotions analytics in London. The role combines ownership of high-impact projects with collaboration across senior stakeholders to shape pricing, promotions, range optimisation and trading performance.

You will lead end-to-end analyses, deliver actionable commercial insights, and guide analysts while advancing the analytics capability within a consumer-facing organisation. Hybrid working with strong data-driven impact.