Transport Data Analyst

Transport Data Analyst

Location: Chesterfield, East Midlands
Employment Status: Permanent

Salary: 39,152 - 44,075

About the Role

This is a defining moment for transport in the East Midlands. As the region's Local Transport Authority, EMCCA is at the forefront of shaping a bold, future-focused Mayor's Transport Plan - driving forward a transformational investment programme worth over 2 billion. This is more than infrastructure; it's a once-in-a-generation opportunity to reimagine how people connect, travel, and thrive across the region.

We are seeking a Transport Data Analyst to provide high-quality analysis, insight and evidence to support the development, implementation and monitoring of transport strategies and programmes. You will play a leading role in ensuring that decision-making is informed by robust, integrated and accessible data.

Our region is home to award-winning bus companies, an established tram system, the HQ of the new GB Railways, and birthplace of the first workplace parky levy in Europe - this is a region with both track record and vision.

Key Responsibilities

• Lead the collection, integration, cleansing and analysis of a wide range of transport-related datasets, including national, regional, local authority and operator data
• Develop high-quality dashboards, reports and data visualisations using tools such as Excel, Power BI, GIS, Python or R
• Apply statistical and analytical techniques to support forecasting, modelling and scenario analysis
• Build and maintain robust evidence bases to support key strategies, including the Mayor's Transport Plan and associated programmes
• Use GIS tools to analyse spatial data, map transport networks and support place-based decision-making
• Lead on carbon reduction analysis and contribute to the development of transport decarbonisation strategies
• Ensure effective data management practices, including governance, quality assurance, security and compliance
• Provide analytical support to business cases, funding bids and project evaluations
• Monitor the performance of transport programmes, identifying trends, impacts and opportunities for improvement
• Conduct research and horizon scanning to identify emerging trends, tools and best practice in transport analytics
• Work collaboratively with internal teams, local authorities, transport operators and partners to support consistent and effective use of data
• Provide guidance and mentorship to junior analysts and colleagues
• Represent EMCCA in meetings, working groups and stakeholder engagement activities where analytical insight is required

About You

We are looking for a highly analytical and technically skilled professional who can translate complex data into meaningful insight to support strategic decision-making. Please note, you do not need to meet every requirement to apply - if you feel you'd be a good fit, we encourage you to put in an application.

Essential Skills and Experience:

• Strong experience using data analysis and visualisation tools such as Excel, Power BI, Python, R or SQL
• Proven ability to work with large and complex datasets, applying analytical and statistical techniques
• Experience developing dashboards, automated reports and repeatable analytical processes
• Experience using GIS software for spatial analysis and mapping
• Strong problem-solving skills and attention to detail
• Ability to manage multiple priorities and deliver high-quality outputs to deadlines
• Excellent communication skills, with the ability to present complex findings clearly to both technical and non-technical audiences
• Experience collaborating with a range of stakeholders across projects or programmes

Desirable:

• Experience working with transport data, modelling or appraisal frameworks
• Knowledge of carbon quantification methodologies or environmental data analysis
• Experience supporting funding bids, business cases or programme evaluation
• Experience integrating spatial and analytical datasets
• Familiarity with open data platforms and transport data sources

Qualifications

• Degree (or equivalent experience) in data analytics, mathematics, statistics, economics, computer science or a related discipline
• Training or experience in data analytics, statistical modelling or…