Rail Revenue Optimization Analyst

Xc Trains Limited

Greater London

Hybrid

GBP 33,000 - 41,000

Full time

4 days ago
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Benefits offered by this job

Free rail travel
Discounted travel
Pension scheme
Cycle to work

Job summary

CrossCountry Trains is seeking a Revenue Management Analyst to drive commercial revenue and enhance the passenger experience. Hybrid role based mainly at the Birmingham office (3 days) with 2 days from home, focusing on price and seat availability for key routes.

You will analyse large datasets, identify opportunities, and present insights to the commercial team. Proficiency in Power BI/Tableau, SQL and Python, strong communication, and a proactive, data-driven mindset are essential.

Qualifications

  • Strong understanding of revenue management concepts and systems.
  • Experience presenting numerical information to a wide audience.
  • Excellent analytical skills with large datasets and KPIs.
  • Proficiency in Power BI and Tableau.
  • Knowledge of SQL; Python for data processing.
  • Strong communication and ability to work independently or in a team.

Responsibilities

  • Manage price and seat availability for key routes to maximise revenue and minimise overcrowding.
  • Extract and interpret data to identify opportunities and improvement areas for the route.
  • Use revenue management systems to manage policies for loadings, reservations, revenue and competition.
  • Review crowding feedback and implement actions.
  • Produce weekly and periodic reporting for internal/external stakeholders.
  • Act as a commercial partner for the region with revenue improvement insights.

Skills

Revenue management
Data analysis
Power BI
Tableau
SQL
Python
Communication
KPI tracking

Education

Undergraduate degree (business/statistics/operations)

Tools

Power BI
Tableau
SQL
Python

Job description

CrossCountry Trains is seeking a Revenue Management Analyst to drive commercial revenue and enhance the passenger experience. Hybrid role based mainly at the Birmingham office (3 days) with 2 days from home, focusing on price and seat availability for key routes.

You will analyse large datasets, identify opportunities, and present insights to the commercial team. Proficiency in Power BI/Tableau, SQL and Python, strong communication, and a proactive, data-driven mindset are essential.

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