Senior Pricing & Revenue Performance Analyst

As Senior Pricing & Revenue Performance Analyst, you'll be responsible for ensuring that Emma captures the full commercial value of its product portfolio — by connecting revenue performance, pricing architecture, and competitive intelligence into actionable insight.

This is a newly created role designed to address one of the most critical gaps identified in the category diagnostic: the absence of a structured pricing framework, a clear performance intelligence function, and a structured competitive monitoring capability. Today, pricing decisions lack governance, performance tracking is high-level, and competitive intelligence is fragmented. This role exists to fix that.

You will build the analytical backbone of Category Management — providing the data, frameworks, and strategic insight that make better portfolio decisions possible, and ensuring that pricing logic holds across markets, channels, and the full product lifecycle.

1. Category Performance Intelligence

Design, build and own global category performance dashboards in partnership with BI and Data teams

Define the KPI framework for the category: which metrics matter, how they are measured, and at what frequency

Track and analyse product performance across all global markets:

Revenue, volume, and margin by SKU, channel, and market

Return rate and NPS correlation with product attributes and positioning

Portfolio mix evolution and contribution margin by tier

Channel performance across DTC, marketplace, and retail

Identify performance gaps, growth opportunities, and structural category issues — and translate them into clear recommendations

Produce monthly performance reviews and quarterly category performance deep-dives for senior stakeholders

Build the category portfolio assessment framework (combining CM, return rate, revenue, and mix) to steer investment and rationalisation decisions

2. Pricing Architecture & Value Capture

Design and maintain global price ladders, pricing tiers, and trade-up logic for each product category

Define pricing corridors by channel, market cluster, and product tier — ensuring coherence across the portfolio

Maintain & update a pricing elasticity model to inform strategic pricing decisions and promotional planning

Support pricing decisions for new product launches — working closely with Global Category Managers and Finance

Conduct regular price-value assessments: are products priced coherently relative to consumer-perceived value and competitive positioning?

Identify pricing risks (undercutting, margin compression, channel conflict) and propose corrective actions

Build a pricing governance framework ensuring decisions are documented, consistent, and defensible

3. Promotional Governance & ROI Framework

Define promo guardrails and governance standards (frequency, depth, product eligibility, channel fit)

Build and maintain a promotional effectiveness tracking model — measuring actual ROI vs planned

Collaborate with countries to conduct pre- and post-promo analysis to identify what works, at what cost, and for which products

Work with Regional Category Managers to evaluate EU, APAC, and LATAM promo requests against global guardrails

Identify structural promo dependency risks (habituation, margin erosion, brand degradation) and escalate early

Partner with Finance and Commercial to ensure promo plans are margin-accretive or strategically justified

4. Competitive & Market Intelligence

Own and continuously maintain a structured competitive landscape view across Emma's core categories

Track competitor pricing, product launches, positioning changes, and promotional activity across key markets

Develop a repeatable, scalable competitive intelligence process — pulling from multiple sources (online scraping, trade press, field reports, mystery shopping)

Analyse market sizing, category growth rates, and channel shifts to identify whitespace and strategic risks

Deliver regular competitive intelligence reports and ad-hoc briefs when significant competitor moves occur

Support business case modelling with validated market data and external benchmarks

5. Category Decision Support & Business Cases

Serve as the analytical partner to Global and Regional Category Managers — providing the data backbone for strategic decisions

Build and validate business cases for new product investments, portfolio changes, and category expansion

Support market sizing exercises, opportunity assessments, and go/no-go frameworks for innovation

Work with Finance to translate category insights into P&L impact, investment return projections, and budget inputs

Develop self-service analytics tools and templates that help the broader category team make faster, better decisions