Asset Systems Data Analyst

Asset Systems Data Analyst

Full-Time 22430 - 27414 £ / year (est.) Home office (partial)
F

At a Glance

  • Tasks: Support asset management and data analysis for London's critical rail infrastructure.
  • Company: Join TfL, a leader in transport innovation and safety.
  • Benefits: Enjoy free travel, 30 days leave, and a final salary pension scheme.
  • Other info: Hybrid working model with excellent career growth opportunities.
  • Why this job: Make a real impact on London's transport network while developing your skills.
  • Qualifications: Experience in asset data management and strong analytical skills required.

The predicted salary is between 22430 - 27414 £ per year.

Company: TfL, GLA or OPDC

Key Information

  • Salary: Circa £39,000
  • Grade: Band 2
  • Contract type: Full-time
  • Location: Plumstead, SE18 & Stratford, E20 with hybrid working

Hybrid working within this role enables a balance of a minimum 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. Candidates must be able to demonstrate their right to work in the UK. At the present time TfL is unable to offer visa sponsorship for this role.

Overview of project/role

Rail for London’s Infrastructure Manager (IM) Engineering is responsible for the stewardship, safety and long-term performance of some of TfL’s and London’s most critical rail infrastructure. Working across a diverse portfolio of railway assets, the team provides engineering leadership, asset management expertise and technical assurance to ensure the network remains safe, reliable and fit for the future.

As an Asset Systems Data Analyst, you'll support the management of systems and data that underpin the safe, compliant and reliable operation of the Elizabeth Line. You’ll play a key role in establishing the Planning and Performance function, helping to develop the processes, procedures and governance frameworks that support effective asset data management.

Key Accountabilities

  • Support asset safety and compliance by helping maintenance teams manage safety-critical asset inspections, compliance activities, work prioritisation and the effective delivery of maintenance strategies.
  • Manage and optimise asset data systems by ensuring the tools and platforms required to capture, maintain and analyse asset information are available, effective and fit for operational use.
  • Deliver data analysis and performance insights through root cause analysis, trend identification, performance monitoring and the creation of meaningful visualisations that support informed decision-making.
  • Identify and elevate issues by monitoring asset and maintenance data, highlighting risks, anomalies and emerging trends, and supporting their timely resolution.
  • Maintain data quality and integrity by supporting data audits and assurance activities to ensure asset information remains accurate, consistent and reliable.
  • Develop performance measurement solutions by helping to establish analytics frameworks, reporting methodologies and performance indicators for asset and maintenance management.
  • Support digital innovation and automation through the procurement and implementation of platforms that enable the automated collection, analysis and presentation of asset and maintenance performance data.

Skills, Knowledge & Experience

  • Skills
    • Excellent decision-making and analytical skills (Essential)
    • Ability to work with project teams (Essential)
    • Ability to formulate and articulate clear visions for the planning and delivery of initiatives and programmes (Essential)
    • Demonstrated ability to gather, interpret, and translate asset data into effective analytical outputs (Essential)
    • Excellent communication skills with the ability to distil complex data and analytics into concise and compelling narratives (Essential)
  • Knowledge
    • IT platforms for analytics and visualisation (Essential)
    • Business intelligence tools (preferably Power BI) with the ability to transform and manipulate data (Essential)
    • Good knowledge of asset data and statistical analysis and the ability to work with large, complex and uncleansed datasets (Essential)
    • Understanding of the business structure of and agencies associated with the Rail Industry (Highly desirable)
    • Knowledge of large asset management organisations, their physical asset base, main contractual relationships and regulatory frameworks (Highly desirable)
  • Experience
    • Experience in asset data management (Essential)
    • Proven experience working within a collaborative Data & Analytics team environment (Essential)
    • Experience of producing and developing asset strategies and business processes (Essential)
    • Experience of interrogating asset data using and developing KPI’s to ensure continuous data quality improvements (Essential)
    • Experience in the rail or other infrastructure and asset critical industries (Highly desirable)

Equality, diversity and inclusion

We are committed to equality, diversity and inclusion and aim to reflect the diverse communities we serve. We believe that a diverse workforce enables us to deliver better services and outcomes. Our goal is to make our recruitment as inclusive as possible.

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
  • 30 days annual leave plus public and bank holidays
  • Tax-efficient cycle-to-work programme
  • Retail, health, leisure and travel offers
  • Discounted Eurostar travel

Vetting Process

At Transport for London, safety, trust and fairness sit at the heart of how we recruit. Our Vetting Charter 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.

Asset Systems Data Analyst employer: Future of London

Transport for London (TfL) is an exceptional employer, offering a dynamic work environment that fosters innovation and inclusivity. With a strong commitment to employee growth, TfL provides opportunities for professional development while ensuring a healthy work-life balance through hybrid working arrangements. Employees enjoy generous benefits, including free travel on the TfL network, a final salary pension scheme, and a focus on equality, diversity, and inclusion, making it a rewarding place to build a meaningful career in the heart of London.

F

Contact Details:

Future of London Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Asset Systems Data Analyst

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Future of London!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Asset Systems Data Analyst at Future of London.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Future of London.

Apply Directly through Our Website

When you find a suitable opening like Asset Systems Data Analyst at Future of London, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Asset Systems Data Analyst

Analytical Skills
Decision-Making Skills
Data Interpretation
Communication Skills
Asset Data Management
Business Intelligence Tools (Power BI)
Statistical Analysis

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Future of London, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Future of London. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Future of London

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Future of London!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.