Pricing Optimization Tool - Business Owner

Lulu Retail LLC.; Abu Dhabi; On-site; AED 240,000 - 420,000; Full time

Job summary

Lulu Retail LLC in Abu Dhabi is seeking a highly skilled Pricing Analyst to own and continuously improve the price optimization ecosystem. You will translate model outputs into actionable pricing recommendations across channels and geographies.

The role blends data science, finance, and commercial strategy, requiring strong SQL, Excel, and experience with enterprise pricing platforms. Strong communication and collaboration with stakeholders is essential.

Qualifications

• Bachelor's degree in Finance, Business Analytics, Statistics, Mathematics, Engineering, Computer Science or related field.
• 6–10 years in pricing analytics or revenue optimisation with end‑to‑end pricing exposure.
• Professional pricing or analytics certifications (e.g., CPP) are a plus.

Responsibilities

• Own end‑to‑end operation of central price optimization software and price plans.
• Audit model outputs and recalibrate parameters for market/seasonal changes.
• Configure zone-, channel-, SKU-level pricing across offline/online channels.
• Integrate pricing tools with ERP and BI platforms; collaborate with data engineering.

Skills

Pricing

Data analysis

SQL

Excel

A/B testing

Commercial mindset

Cross-functional collaboration

Pricing strategy

Problem solving

Communication

Education

Bachelor's degree in Finance or quantitative field

Master's degree or MBA advantageous

Pricing analytics certification

Tools

Revionics

Relex

Impact Analytics

QuickLizard

Competera

DemandTec

BlueYonder

SAP/Vistex

Job description

Role Summary

The Pricing Analyst is a critical contributor to a high-growth retail pricing organization, responsible for owning, operating, and continuously improving the price optimization software ecosystem while delivering commercial insights that drive margin improvement, competitive positioning, and revenue growth across channels and geographies. This role blends deep quantitative skill with strategic commercial judgment and cross-functional stakeholder influence : sitting at the intersection of data science, finance, and category strategy. The ideal candidate brings hands‑on experience with enterprise pricing platforms (e.g., Revionics, Relex, Impact Analytics, QuickLizard, Pricen, Competera, DemandTec, BlueYonder, TCS Optumera, Yieldigo, 7Learnings, RetailGrid, Mc Kinsey Periscope, ClearDemand ), strong SQL and analytics capability, and the ability to translate optimization outputs into clear pricing recommendations that buying, finance, and commercial teams can act on.

Key Responsibilities

1. Price Optimization Platform Ownership

• Own end‑to‑end operation of the central price optimization software (e.g Revionics, Relex, Impact Analytics, QuickLizard, Pricen, Competera, DemandTec, BlueYonder, TCS Optumera, Yieldigo, 7Learnings, RetailGrid, Mc Kinsey Periscope, ClearDemand ), including creation and maintenance of price plans, business rules, elasticity inputs, scenario analysis, optimization objectives: Be the Super user for the pricing tool.
• Conduct regular audits of optimization model outputs; identify anomalies, data gaps, or model drift, and recalibrate parameters in response to market and seasonal changes.
• Configure and maintain zone‑based, channel‑specific, and SKU‑level pricing structures across offline and online channels, ensuring omnichannel price consistency where required.
• Manage integration of the pricing tool with competitor intelligence feeds, ERP systems (e.g., SAP/Vistex), and BI platforms — partnering with data engineering teams to ensure clean, complete data flows.

2. Data Analysis, Pricing Scenario Modelling & Commercial Execution

• Design and analyse A/B pricing experiments and test‑and‑control frameworks to measure the causal impact of price interventions on volume, revenue, and margin — and translate findings into iterative refinements.
• Perform price sensitivity and cross‑elasticity analysis at the category, subcategory, and SKU level to identify opportunities for range restructuring and price architecture optimisation.
• Support development and execution of pricing strategies across everyday pricing, promotions, markdowns, clearance, and new product introductions (NPI).
• Partner with Category, Finance, and Commercial Operations teams to operationalise pricing decisions, maintain guardrails, and ensure adherence to centralised governance rules.

3. Reporting, Documentation, Training & Stakeholder Communication

• Produce regular pricing performance dashboards monthly covering price index vs. competitors, margin realisation, optimisation adoption rates, and KPI tracking.
• Prepare executive‑level presentations that synthesize pricing insights, highlight risks and opportunities, and communicate clear recommendations to senior leadership. Track and report on the commercial impact of pricing actions taken, feeding learnings back into the optimisation model and pricing strategy.
• Document pricing SOPs, system configurations, pricing rules, regional pricing rule differences, and model assumptions to enable knowledge transfer, onboarding, and audit readiness.
• Create end user training materials, and train regional teams on the pricing tools, pricing methodology, and CI platforms.
• Act as a point of escalation and SME for pricing tool queries across the business; liaise with vendor support teams on technical issues as needed.

Qualifications & Requirements

Education and Experience

• Bachelor's degree (required) in Finance, Business Analytics, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. Master's degree or MBA is advantageous.
• Hands‑on experience operating, configuring, or administering a price optimisation platform (e.g Revionics, Relex, Impact Analytics, QuickLizard, Pricen, Competera, DemandTec, BlueYonder, TCS Optumera, Yieldigo, 7Learnings, RetailGrid, Mc Kinsey Periscope, ClearDemand ); candidates with adjacent tool experience and strong aptitude to learn are also considered.
• 6-10 years of experience in pricing analysis, revenue optimisation, commercial analytics, or a related field with a demonstrable exposure to the end‑to‑end pricing lifecycle.
• Professional certifications in pricing (e.g., Certified Pricing Professional – CPP), data analytics, or revenue management.
• Prior experience in retail, FMCG, consumer goods, or omnichannel e‑commerce environments is strongly preferred.
• Track record of using pricing data to influence commercial decisions and drive measurable margin or revenue outcomes.

Technical Skills

• Pricing & Optimisation Software: Worked on Revionics, Relex, Impact Analytics, QuickLizard, Pricen, Competera, DemandTec, BlueYonder, TCS Optumera, Yieldigo, 7Learnings, RetailGrid, Mc Kinsey Periscope, ClearDemand .
• Advanced Excel (required): Complex formulas, PivotTables, scenario modelling, and financial models.
• SQL (strongly preferred): ability to write and optimise queries for data extraction, transformation, and analysis from relational databases (e.g., Snowflake, BigQuery, SQL Server, Teradata).
• Python or R (advantageous): experience with pandas, NumPy, or statistical/ML libraries for demand modelling, elasticity analysis, or pricing automation is a significant differentiator.

Other Skills

• Strong quantitative and problem‑solving ability with high attention to precision and data integrity.
• Demonstrated ability to build pricing and elasticity models, design A/B pricing experiments
• Commercial instinct: capable of connecting analytical findings to business strategy and communicating the 'so what' clearly to non‑technical audiences.
• Understanding of core pricing methodologies including cost‑plus, value‑based, competitive, dynamic, and psychological pricing principles.
• Collaborative mindset with a genuine desire to build pricing capability in