Revenue Manager

Chiltern Railways; Banbury; On-site; GBP 26,000 - 44,000; Full time

Job summary

Chiltern Railways is seeking a Revenue Manager to lead the revenue performance function, overseeing forecasting, budgeting, analysis and reporting. You will transform complex data into trusted insights to support growth and financial sustainability.

The role reports to the Commercial Analysis and Forecasting Manager and requires an office-based presence (3 days/week) with some travel across the network. UK rail experience is desirable.

Qualifications

• Experience in data-driven analytical roles within rail, transport, or a regulated industry.
• Strong Excel skills, data modelling, and automated reporting experience.
• Ability to analyse large datasets and communicate insights clearly.
• Knowledge of passenger revenue, pricing, or timetable changes is advantageous.
• Degree in a numeric/analytical discipline or equivalent experience.

Responsibilities

• Lead revenue insight and reporting aligned with commercial strategy.
• Set direction for the Revenue Analysis team and automate reporting.
• Develop strategies to maximise yield across passenger income streams.
• Oversee revenue forecasting and provide commentary on trends and risks.
• Provide senior stakeholders with actionable revenue insights.

Skills

Excel (advanced)

Data analysis

Forecasting

Performance measurement

Education

Degree in numeric/analytical discipline

Tools

LENNON

MOIRA

RARS

gateline data systems

Power BI

SQL

Python

Job description

Role: Revenue Manager

Contract Type: Permanent

Location: Marylebone Station, London

Salary: Up to £44,000 per annum

Job Purpose

The Revenue Manager leads Chiltern Railways’ revenue performance function, overseeing monitoring, forecasting, budgeting, analysis, and reporting. The role transforms complex commercial, operational, and customer data into trusted insight that supports strategic decisions, revenue growth, and long-term financial sustainability. The role reports to the Commercial Analysis and Forecasting Manager, who also oversees Yield Management.

Context

Chiltern Railways is a UK train operator running services from London Marylebone to destinations across Buckinghamshire, Oxfordshire, Warwickshire and the West Midlands. Our vision is to make journeys easier, greener, better, and we have a three-phase plan to modernise our fleet with a focus on sustainability, reliability and improving the passenger experience.

This role will be part of the Commercial Department reporting into the Commercial and Customer Strategy Director.

The role is expected to be office based (3 days per week minimum) with some travel across the network within normal working hours.

Key Accountabilities

Leadership, Strategy & Governance

• Lead Chiltern Railways’ revenue insight and reporting, ensuring analysis is accurate, timely, and aligned with commercial strategy.
• Set analytical direction for the Revenue Analysis team, prioritising workload, developing capability, using digital tools effectively, automating reporting where possible, and championing spreadsheet modelling best practice.
• Develop and implement strategies to maximise yield and earnings across passenger income streams, using insight to shape pricing, product design, and commercial decisions.

Budgeting, Forecasting & Performance Management

• Oversee weekly, periodic, and annual revenue forecasts, providing clear insight into performance drivers, risks, and opportunities.
• Support Chiltern’s business plan, ensuring assumptions are evidence‑based and aligned with operational and commercial plans.
• Provide senior stakeholders with clear, actionable commentary on revenue trends, demand patterns, and market dynamics to support strategic and operational decisions.

Revenue Reporting & Insight

• Manage all passenger revenue reporting, ensuring timely weekly and periodic insight with appropriate trend analysis, narrative, and recommendations.
• Oversee analysis of timetable and pricing changes, ensuring modelling and forecasting inform commercial strategy, operational readiness, and customer impact assessments.
• Monitor competitor pricing, service changes, and market movements, translating insight into clear dashboards, risk assessments, and mitigation strategies.

Operational & Capacity Insight

• Lead the analysis of passenger counting data to inform advance ticketing quotas, demand forecasting, and capacity optimisation.
• Oversee analysis from automatic ticket barriers and operational systems, ensuring insight supports train length decisions, crowding management, and operational planning.
• Ensure special event analysis (e.g. Wembley fixtures, engineering works, and major disruptions) supports pricing, planning, and operational readiness.

Industry, Regulatory & Commercial Support

• Twice yearly, oversee the extraction and interpretation of ORCATS data, advising the Head of Commercial on significant changes and their commercial implications.
• Provide senior-level analytical support to Directors for claims disputes, business cases, and commercial negotiations.
• Ensure revenue intelligence is readily available across internal departments to support cross‑functional planning, strategic initiatives, and commercial decision‑making.

Ad Hoc & Strategic Projects

• Lead ad hoc analytical projects, including evaluations of new retail facilities, operational changes, and commercial initiatives, ensuring outputs are robust, automated where appropriate, and aligned with business priorities.

Personal Specification

Able to work flexibly and at pace, responding to both planned and unplanned priorities. Strong organisation and time‑management skills, with the ability to manage workload independently and ensure work can be easily picked up by colleagues. Excellent accuracy and attention to detail, ensuring high‑quality outputs.

Experience

• Experience in a data‑driven analytical role, ideally covering commercial, operational, or customer insight.
• Experience working with large datasets, data modelling, or automated reporting tools.
• Experience in rail, transport, or another regulated, customer‑facing industry is desirable but not essential.
• Experience working with commercial, marketing, operational, or finance teams to provide insight that supports decision‑making.
• Degree‑level education in a numeric, analytical, or statistical discipline (e.g. Mathematics, Economics, Data Science, Engineering, Geography with quantitative methods, or similar).
• Equivalent experience demonstrating strong analytical capability will also be considered.

Essential

• Strong Microsoft Excel skills, including advanced functions, data manipulation, and modelling.
• Knowledge of railway retail and operational information systems, such as LENNON, MOIRA, RARS, and gateline data systems.
• Working knowledge of Power BI or another business intelligence/visualisation tool, such as Tableau or Qlik.
• Understanding of data analysis techniques, including trend analysis, forecasting, segmentation, and performance measurement.
• Awareness of data quality, data integrity, and the importance of robust reporting.

Desirable

• Familiarity with digital analytics tools and online sales performance metrics.
• Experience with SQL, Python, R, or other data science tools is beneficial, particularly for future capability development.