Data Reporting & Analytics Specialist

Transport for London

Greater London

Hybrid

GBP 51,000 - 69,000

Full time

13 hours ago
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Benefits offered by this job

Final salary pension scheme
Free travel on TfL network
30 days annual leave

Job summary

Transport for London is hiring a Data Reporting & Analytics Specialist to lead the design and delivery of advanced reporting and analytics solutions that drive action-led insights across Elizabeth Line functions. You will translate operational challenges into scalable technical solutions leveraging Power BI, Databricks and Python.

The role requires building automated workflows with Power Automate and Power Apps, ensuring data quality and governance across multiple sources, and collaborating with

Qualifications

  • Translate business requirements into effective analytical outputs.
  • Advanced skills in a BI tool (Power BI) with data transformation using Power Query, M, and DAX.
  • Experience using Power Automate and Power Apps to automate processes and streamline data flows.
  • Comfortable working in Azure environments, including provisioning Azure Databricks.
  • Proficient in Python with an understanding of statistical techniques.
  • Strong communication to convey findings to technical and non-technical audiences.

Responsibilities

  • Provide insight and analysis of asset, reliability and performance data to influence decision-making across Elizabeth Line operations.
  • Design, develop, and maintain advanced data reporting and analytics solutions using Power BI, Azure Databricks, and Python.
  • Develop automated workflows using Power Automate and Power Apps to improve data accessibility and processes.
  • Integrate and manage data from multiple sources ensuring data quality and governance.
  • Implement best practices for solution design, performance optimization, and governance within Power Platform and Azure.

Skills

Power BI
Python
Azure Databricks
Power Automate
Power Apps

Tools

Power BI
Azure Databricks
Python
Power Automate
Power Apps

Job description

Welcome to Transport for London Careers Take a look at job opportunities with us and you may be surprised at what you discover: a rich heritage, a commercial outlook, an iconic brand, a unique public service. It all adds up to make Transport for London a great place to develop your career. Here you can start your journey!

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

Application closing date: 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
  • 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 workspaces.
  • 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 connecting to data from multiple sources and applying data modeling principles.
  • Strong knowledge of the use, deployment, and management of Power Platform tools (Power BI, Power Automate, and Power Apps), with good awareness of design best practices and optimization techniques.
  • Moderate knowledge of the use, deployment, and management of Azure, Databricks, and Python, with an understanding of statistical analysis concepts for descriptive, diagnostic, predictive, and prescriptive analytics.
  • Familiarity with relevant national and international legislation pertaining to the Government sector, such as the Data Protection Act and GDPR regulations.
Experience
  • Proven experience working within a collaborative Data & Analytics team environment.
  • Hands-on expertise with MS Power Platform Tooling (Power BI, Power Automate and Power Apps) to deliver solutions.
  • Practical experience leveraging Azure, Databricks, and Python for data engineering, analytics, and automation.
  • Proven ability to deliver the full lifecycle of analytical solutions from planning, development, deployment and maintenance.
  • Extensive experience in designing, developing and implementing advanced analytical solutions, such as predictive models.
  • Exceptional communication skills with the ability to distil complex data and analytics into concise and compelling narratives.
  • Strong experience of engaging stakeholders at all levels to gather, validate and translate business requirements into insight.
  • Experience driving business process optimization through the effective application of data-driven tools and methodologies.
Equality, diversity and inclusion

We are committed to equality, diversity and inclusion. We want to represent the city we serve, which will help us become a more innovative and efficient organisation. Our goal is to make our recruitment as inclusive as possible. We are a disability confident employer who guarantee an interview to any disabled candidate who meets all of the essential criteria. We also use anonymising software that removes identifying information from CVs and cover letters to make the process fair.

Benefits

In return for your commitment and expertise, you will enjoy excellent benefits and scope to grow. Rewards vary according to the level of role but mostly include the below:

  • Final salary pension scheme
  • Free travel for you on the TfL network
  • Reimbursement of 75% of the cost of a standard class Ticket for National Rail travel from home or 75% reimbursement on a 28-day flexi ticket
  • 30 days annual leave plus public and bank holidays
  • TfL is committed to work-life balance, operating a hybrid working approach where business and role requirements allow
  • Private healthcare discounted scheme (optional)
  • Tax-efficient cycle-to-work programme
  • Retail, health, leisure and travel offers
  • Discounted Eurostar travel

We will make every effort to give you as much notice as possible, however some interviews/assessments could be organised at short notice.

Vetting Process

At Transport for London, safety, trust and fairness sit at the heart of how we recruit. Our Vetting Charter (https://tfl.gov.uk/corporate/careers/our-vetting-process) explains the checks we carry out before you join us, helping ensure we create a safe, inclusive and reliable network for everyone who depends on our services. We simply ask that the information you provide is honest and accurate so we can progress your application smoothly. If something doesn’t match or can’t be verified, we may not be able to move forward with your application, but we’ll always treat you with transparency, respect, and clear communication throughout.

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