RGM & Pricing Analytics Lead

About the role:

Build data-driven pricing and promotion solutions that help FMCG brands and retailers make smarter revenue and profitability decisions.

About ClicFlyer:

ClicFlyer is a fast-growing retail analytics company working with leading FMCG brands and retailers across multiple markets.

Our platform analyses large-scale retail datasets - including EPOS data, e-commerce pricing and promotional flyers - to deliver insights into promotional performance, pricing strategies, competitive intelligence and customer engagement. We are expanding our advanced analytics capabilities across Revenue Growth Management (RGM), promotion optimization, price optimization, price elasticity and demand forecasting.

The Opportunity:

We are looking for an experienced RGM & Pricing Analytics Lead to drive the development and execution of our Revenue Growth Management analytics capabilities, with a primary focus on promotion effectiveness and price optimization.

This is a leadership role for someone who combines strong commercial understanding with hands-on analytical expertise. You will own key initiatives end-to-end - from identifying business opportunities and defining methodologies to developing analytical models and translating results into practical recommendations for FMCG brands and retailers.

Total Experience: 6 - 12 years

Key Responsibilities:

RGM Strategy & Solution Ownership:

- Own the development and execution of RGM analytics solutions, particularly across promotion and price optimization.

- Translate commercial challenges into analytical frameworks, methodologies and scalable solutions.

- Define the RGM analytics roadmap, prioritising use cases based on business value, data availability and feasibility.

- Establish best practices for pricing, promotions and commercial performance measurement, and demonstrate their business impact.

Promotion Analytics & Optimization:

- Build robust approaches to measure promotional effectiveness, including baseline sales, incremental uplift, cannibalization, halo effects and promotional ROI.

- Assess how promotional mechanics, discount depth, duration, frequency, seasonality and competitor activity affect sales.

- Recommend improvements to promotional strategy, including optimal depth, timing and frequency.

- Develop frameworks that work across brands, categories, retailers and markets while accounting for overlapping promotions, stock-outs, product-hierarchy gaps and data limitations.

Pricing Intelligence & Optimization:

- Lead price elasticity modelling and assess how price changes influence demand and sales.

- Develop competitive price benchmarking, price positioning and price-index frameworks.

- Identify pricing opportunities across products, categories, retailers and markets.

- Provide data-led recommendations on optimal pricing, price changes and discount strategies, considering promotions, competition and consumer demand.

Advanced Analytics & Model Development:

- Develop and validate models for price elasticity, promotion uplift, baseline and demand forecasting, and price optimization.

- Apply statistical modelling, regression, time-series analysis and causal inference where appropriate.

- Engineer features using price, discount, promotion duration, seasonality, competitive pricing and historical sales signals.

- Ensure models are statistically robust, commercially interpretable and translated into actionable insights and decision-support tools.

Data & Technical Execution:

- Build analytical workflows using Python and SQL; BigQuery experience is preferred.

- Lead data exploration, preparation, feature engineering and analytical pipeline development on large-scale retail datasets.

- Address data challenges such as missing observations, SKU and pack-size mapping, inconsistent product hierarchies and time-series transformations.

- Partner with data engineering and product teams to operationalise models, integrate them into scalable solutions, and establish validation, monitoring and documentation standards.

Stakeholder & Team Leadership:

- Partner with business leaders, FMCG stakeholders, product and engineering teams to understand requirements and drive adoption.

- Communicate complex analytical findings through clear business narratives and actionable recommendations.

- Lead analytical initiatives end-to-end, coordinate resources and ensure timely delivery.

- Mentor and guide analysts and data scientists working on RGM and pricing analytics.

Required Skills & Experience:

- 5+ years of experience in Revenue Growth Management, Pricing Analytics, Commercial Analytics, Retail Analytics or Data Science, with ownership of pricing- or promotion-related initiatives.

- Strong understanding of RGM concepts, especially price optimization, price elasticity, promotion effectiveness and commercial performance measurement.

- Proven ability to turn business challenges into analytical solutions and drive projects from problem definition through implementation.

- Strong foundation in statistical modelling, regression techniques (particularly log-log elasticity), time-series analysis and exposure to causal inference.

- Hands-on proficiency in Python for data analysis and SQL for querying and analysing large datasets; BigQuery is preferred.

- Ability to interpret analytical outputs commercially and convert them into actionable pricing and promotional recommendations.

- Strong stakeholder management, communication, problem-solving and project leadership skills, with the ability to work across business, analytics, product and engineering teams.

Preferred Experience & Strong Differentiators:

- Experience working with FMCG brands, retailers or consumer goods businesses.

- Hands-on experience building and implementing price elasticity and price optimization models.

- Experience in retail promotion analytics, incremental sales measurement, promotion ROI and promotional optimization.

- Understanding of RGM frameworks and commercial growth levers.

- Experience with demand forecasting, competitive pricing intelligence and price-index analysis.

- Experience building and operationalising large-scale SQL- and Python-based analytical workflows.

- Experience leading analytical teams or cross-functional analytics projects.

- Exposure to RGM platforms, pricing optimization tools or commercial decision-support solutions.

At ClicFlyer, you will help turn complex retail data into clear commercial decisions - shaping smarter pricing, stronger promotions and sustainable growth.

Skills

Pricing Strategy, Revenue Management, Analytics, Data Analytics, Python, SQL, Statistics, Forecasting