Data Reporting & Analytics Specialist

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Key Information

Job title:

Data Reporting & Analytics Specialist Salary:
Circa, 60,000.00
Grade:
Band 3

Contract type:
Perm, TFL     Reference: 5512

Location:

5 Endeavor Square, Stratford, London E20 1JN
Final date to receive applications:
Thursday 17th September 2026 @ 23:59pm

PLEASE NOTE:

If you have applied in the last 6 months, your application will not be considered.

Hybrid working within this role enables a balance of 50 per cent of time split between the office and home over a 4-week period. Hybrid working arrangements can evolve subject to business requirements.  All offers of employment are subject to satisfactory right‑to‑work checks, and candidates must be able to demonstrate their legal right to work in the UK. In certain circumstances, TfL may be able to sponsor Skilled Worker visas for roles and individuals that meet the required eligibility criteria, including those covered by transitional rules.

Further details can be found here:
Our response to visa sponsorship changes.

Overview of project/role The purpose of this role is to lead the design, development and application of advanced reporting and analytical solutions that enable action-led insights across Elizabeth Line Infrastructure Maintenance, Operations, Reliability and Rolling Stock & Depot functions.  The role operates as a subject matter expert translating complex operational challenges into scalable, insight-driven technical solutions that inform planning, investment, performance management and long term improvement initiatives.

Key Accountabilities  Provide insight and analysis of asset, reliability and performance data to influence operational, tactical and strategic decision-making across the Elizabeth Line.  Design, develop, and maintain advanced data reporting and analytics solutions using tools such as Power BI, Azure Databricks, and Python, ensuring scalability, robustness, and alignment with future needs. Develop automated workflows and applications using Power Automate and Power Apps to streamline business processes and improve data accessibility.

Integrate and manage data from multiple sources, ensuring data quality, consistency, and compliance with governance standards. Implement best practices for solution design, performance optimization, and governance within Power Platform and Azure environments. Act as the technical authority and subject matter expert for advanced analytics and data engineering solutions (including Azure, Databricks and Python), providing guidance on architecture, standards and continuous improvement to ensure solutions are scalable, robust and aligned to future need.

Act as a trusted advisor to senior stakeholders, proactively identifying opportunities where data and analytics can unlock performance improvement, risk reduction and efficiency gains.  Collaborate closely with the EL Data Reporting Manager to ensure alignment with the wider reporting strategy and deliver integrated analytical solutions that support the Elizabeth Line’s strategic insights objectives. Skills, Knowledge & Experience  Skills Demonstrated ability to gather, interpret, and translate business requirements into effective analytical outputs.

Advanced skills in a business intelligence tool (preferably Power BI) with the ability to transform and manipulate data using Power Query, M, and DAX languages. Skilled in using Power Automate and Microsoft Power Apps to automate business processes, collect, analyze, and summarize data, and streamline workflows, approval flows, and data transfer processes. Comfortable working within Azure environments to support scalable data solutions, including provisioning and configuring Azure Databricks work spaces.

Proficient in leveraging programming languages (preferably Python) with an understanding of statistical analysis techniques. Strong communication skills to convey complex data findings clearly to both technical and non-technical audiences. Knowledge Strong understanding of end-to-end data and analytical tool life cycles, including requirements gathering, solution design, development, testing, deployment, user training, maintenance, and continuous improvement. Demonstrated knowledge of…