Pricing Manager

Jobtailor; Northampton; On-site; GBP 45,000 - 75,000; Full time

Job summary

Barclays is seeking an analytics-focused Pricing & Revenue Optimization specialist to drive data-driven pricing strategies in the UK. You will support repricing processes, analyze data quality, and build pipelines to automate data movement, influencing commercial outcomes with advanced analytics, including ML/AI.

The role requires strong numerical skills, independence, and experience with large datasets and pricing reviews.

Qualifications

• Strong analytical and numerical skills to interpret data and identify trends.
• Proven ability to convert insights into commercial opportunities.
• Experience with pricing, financial analysis, and revenue optimization.
• Experience supporting large-scale pricing reviews and repricing initiatives.
• Self-driven with ability to work independently and challenge practices.
• Experience with large datasets and analytical tools to support recommendations.
• Ability to manage risk, controls, and governance requirements.

Responsibilities

• Drive revenue growth through data-driven pricing strategies and commercial decision-making.
• Identify financial opportunities and support pricing initiatives from concept through implementation.
• Support the quarterly corporate repricing process.
• Ensure pricing decisions are analytical and deliver measurable value.
• Influence business performance and growth agenda through data insights.
• Investigate data quality issues and ensure data lineage and controls.
• Design and build data pipelines to automate movement and processing.
• Apply advanced analytical techniques, including ML/AI, to solve business problems.
• Document data quality findings and recommendations for improvement.
• Advise and influence decision-making and policy development.
• Collaborate with other functions and business divisions.
• Lead complex assignments, set objectives, and coach staff where applicable.

Skills

Data Analysis

Pricing Management

Revenue Enhancement

Statistical Analysis

Machine Learning

Data Cleansing

Data Pipeline Design

Numerical Skills

Commercial Decision-Making

Data Transformation

Education

Mathematics or quantitative degree

Tools

SQL

Python

Job description

Responsibilities

• Drive revenue growth through data-driven pricing strategies and commercial decision-making
• Identify financial opportunities and support pricing initiatives from concept through implementation
• Support the quarterly corporate repricing process
• Ensure pricing decisions are analytical, commercially sound, and deliver measurable value
• Influence business performance and contribute to Barclays' growth agenda
• Investigate and analyse data issues related to quality, lineage, controls, and authoritative source identification
• Execute data cleansing and transformation tasks to prepare data for analysis
• Design and build data pipelines to automate data movement and processing
• Apply advanced analytical techniques, including machine learning and AI, to solve complex business problems
• Document data quality findings and recommendations for improvement
• Advise and influence decision-making and contribute to policy development and operational effectiveness
• Collaborate with other functions and business divisions
• Lead complex assignments, set objectives, coach employees, and appraise performance where applicable
• Consult on complex issues and advise People Leaders on escalated issues
• Mitigate risk and develop policies and procedures supporting control and governance
• Manage risk and strengthen controls
• Collaborate across work areas and communicate complex information to stakeholders
• Influence stakeholders to achieve outcomes

Requirements

• Good analytical and numerical skills, with the ability to interpret complex data, identify trends, and translate insights into commercial opportunities
• Proven ability to identify financial opportunities and drive initiatives through to completion, delivering measurable revenue and business outcomes
• Experience managing pricing, financial analysis, revenue optimisation, or commercial decision-making processes, with a high degree of accuracy and attention to detail
• Degree in Mathematics, Economics, Statistics, Finance, Engineering, or another highly numerical or analytical discipline (highly valued, not required)
• Experience supporting large-scale pricing reviews, repricing exercises, or revenue enhancement initiatives
• Self-driven and proactive approach, with the ability to work independently, challenge existing practices, and uncover new commercial opportunities
• Experience working with large datasets and analytical tools to support business recommendations
• Ability to meet expectations relating to risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job-specific technical skills

Core Competencies

Demonstrates expertise in data-driven pricing strategies, financial analysis, and revenue optimization, with a strong ability to influence decision-making and drive measurable business outcomes. Proficient in advanced analytical techniques, including machine learning and AI, to enhance operational effectiveness and support pricing initiatives.

Highest-signal resume keywords

• Data-Driven Pricing Strategies
• Financial Analysis
• Revenue Optimization
• Advanced Analytical Techniques
• Risk Management

Hard Skills

• Data Analysis
• Pricing Management
• Revenue Enhancement
• Statistical Analysis
• Machine Learning
• Data Cleansing
• Data Pipeline Design
• Numerical Skills
• Commercial Decision-Making
• Data Transformation

Soft Skills

• Proactive Approach
• Stakeholder Influence
• Collaboration
• Coaching
• Communication

Industry Keywords

• Data Quality
• Financial Opportunities
• Repricing Process
• Business Acumen
• Operational Effectiveness