Senior Pricing Analyst

Parkopedia; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A technology-driven pricing firm in London is seeking a Senior Pricing Analyst to lead pricing models and analytics. You will have substantial ownership in driving pricing strategies that support growth and profitability. The ideal candidate will possess over 5 years of experience in pricing analytics, strong analytical skills, and proficiency in SQL and Python. This role includes a hybrid working model.

Qualifications

• 5+ years’ experience in pricing, commercial analytics, revenue management or data science.
• Demonstrable experience building and executing pricing models in a high-growth business.
• Strong analytical skills with the ability to simplify complexity into clear, actionable insights.

Responsibilities

• Analyze historical sales and bookings to identify pricing patterns.
• Build and deploy statistical models and machine learning algorithms.
• Monitor competitor pricing and inform pricing strategies.

Skills

Pricing Analytics

Model Development

Market Intelligence

Data Visualization

Strong communication skills

Education

Degree in Data Science, Statistics, Economics, Mathematics, Operations Research

Tools

SQL

Python

Tableau

Power BI

Job description

The Role

As a Senior Pricing Analyst, you’ll report directly to the Head of Pricing and be one of two specialists in the team, giving you significant ownership and visibility. You’ll take the lead on developing pricing models, analysing large datasets, and delivering actionable insights that directly shape pricing decisions across our marketplace and B2B solutions.

This is a senior hands-on role where your modelling and analytical expertise will have direct commercial impact — influencing strategy, supporting growth, and strengthening profitability. You may also mentor a junior analyst or intern as the function grows, but the focus is on being a high-impact individual contributor.

How to make an impact

Key Responsibilities

• Pricing Analytics: Analyze historical sales, bookings, and market data to identify pricing patterns, trends, and elasticity. Model Development: Build and deploy statistical models and machine learning algorithms to optimize pricing decisions (e.g., dynamic pricing, demand forecasting).
• Experimentation: Design and evaluate pricing A/B tests and other controlled experiments to measure impact on revenue and profitability.
• Market Intelligence: Monitor competitor pricing, market conditions, and customer behavior to inform pricing strategies.
• Scenario Modeling: Simulate the impact of price changes on revenue, margin, and utilization using statistical techniques.
• Cross-Functional Collaboration: Work closely with Product, Marketing, Finance, and Commercial teams to translate analytical insights into actionable pricing recommendations.

• Data Visualization & Reporting: Build dashboards and present insights to stakeholders, ensuring complex analyses are communicated clearly.
• Continuous Improvement: Stay up-to-date with the latest tools, techniques, and trends in pricing science, machine learning, and econometrics.
• Present insights to senior stakeholders, influencing strategic and commercial decisions.
• Contribute to the long-term buildout of the pricing function, setting best practices and analytical standards

Technical Skills & Tools

• Education: Degree in Data Science, Statistics, Economics, Mathematics, Operations Research, or related field.

• 5+ years’ experience in pricing, commercial analytics, revenue management or data science.
• Demonstrable experience building and executing pricing models in a high-growth or dynamic business.
• Strong analytical skills with the ability to simplify complexity into clear, actionable insights.
• Proficiency in SQL and Python for data analysis and modeling. Strong skills in data visualization (Tableau, Power BI, or similar).
• Business Acumen: Understanding of pricing strategies, revenue optimization, and price elasticity.
• Soft Skills: Strong communication skills, ability to explain technical concepts to non-technical stakeholders, and a passion for turning data into actionable insights.
• Deep understanding of marketplace dynamics, supply & demand, and competitive positioning.
• Comfortable operating independently and taking ownership within a small, focused team.

This role is based in London/Stratford with a Hybrid working model.

What Success Looks Like

• Revenue and profit growth driven by optimized pricing strategies.
• Design, implement and monitor Pricing Experiments
• Working with Tech team to productionise and build pricing models
• Clear, actionable insights delivered to leadership and commercial teams
• Well-documented pricing models and relevant KPI tracking