Senior Pricing Strategy Analyst – Australia

Didi-Global-; City of Melbourne; Hybrid; AUD 110,000 - 150,000; Full time

Job summary

DiDi Global Inc. in Australia seeks a pricing analytics professional to shape end-to-end pricing strategies for the Australian market.

You will rely on data analysis, modelling and experiments to improve marketplace efficiency and user experience, partnering with product, algorithm and operations teams to turn insights into scalable pricing capabilities. Role responsibilities include developing pricing strategies across time, distance and regions; building models and simulations to assess impact

Qualifications

• Bachelor’s degree in Business, Economics, Data Analytics, or a related field.
• 2–5 years’ experience in business analysis, strategy, pricing, or operations.
• Strong Excel/Google Sheets skills; basic SQL required, Python a plus.
• Strong analytical, problem-solving, and communication skills.
• Fluent English and comfortable working cross-functionally.

Responsibilities

• Develop and optimise end-to-end pricing strategies across time, distance, and regions.
• Build pricing models and simulations to assess impact on GMV, orders, and conversion.
• Design A/B tests and quasi-experiments to evaluate pricing strategies.
• Analyse price elasticity and translate results into actionable recommendations.
• Monitor supply-demand dynamics, pricing performance, and user behaviour.
• Identify structural trends and opportunities to improve marketplace efficiency.
• Work with product, algorithm, analytics, and operations teams on strategy execution.

Skills

Excel/Google Sheets

SQL basics

Python

Analytical skills

Communication skills

Education

Bachelor’s degree in Business, Economics, Data Analytics, or a related field

Tools

SQL

Python

Job description

DiDi Global Inc. in Australia seeks a pricing analytics professional to shape end-to-end pricing strategies for the Australian market.

You will rely on data analysis, modelling and experiments to improve marketplace efficiency and user experience, partnering with product, algorithm and operations teams to turn insights into scalable pricing capabilities. Role responsibilities include developing pricing strategies across time, distance and regions; building models and simulations to assess impact