Senior Business Analyst

Turner & Townsend
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Business Intelligence Analyst

Senior Salesforce Business Analyst

Technical Business Analyst - Senior Consultant

Business Analyst - Senior Consultant

Senior QA/Data Quality Analyst - FTC 6-months

Senior Data Analyst

Company Description

At Turner & Townsend we're passionate about making the difference. That means delivering better outcomes for our clients, helping our people to realize their potential, and doing our part to create a prosperous society.
Every day we help our major global clients deliver ambitious and highly technical projects, in over 130 countries worldwide.
Our team is dynamic, innovative and client-focused, supported by an inclusive and fun company culture. Our clients value our proactive approach, depth of expertise, integrity and the quality we deliver. As a result our people get to enjoy working on some of the most exciting projects in the world.

Job Description

Turner & Townsend's Digital and consultancy business unit are looking for a suitable candidate to join their team, with a particular focus in (but not limited to) the Rail sector. The team offers a wide range of commissions covering the UK. Candidates would be expected to travel up to 2-3 days per week supporting the delivery of the commissions.

As a global business we deliver projects anywhere in the world for our global client base so future flexibility would be advantageous.

  • The successful candidate will provide business analysis expertise, in particular but not limited to, Rail sector commissions. Additionally, they will support the development of our business analysis service offering, providing best practice knowledge and guidance to junior colleagues and the wider business. Furthermore, they will support the development of new commercial service opportunities.
  • Candidates must be able to demonstrate excellent communication skills with an ability to adapt to and embed into different client environments. This includes identification and communication with key stakeholders and liaison between business departments and groups.
  • Candidates will be expected to engage with clients and be comfortable in leading workshops, assess options for process improvement including process modelling, and familiarity with the requirements management lifecycle to enable successful delivery of technical solutions.
  • Experience of working in Agile and/or Waterfall project development teams is required.
  • Experience of public sector digital transformation is desirable, including the ability to gather, review and analyse business and/or industry data including KPIs, financial reports and other key metrics using data analytics tools.
  • An understanding of technical solution capabilities, including use of the following platforms is desired: Power BI, SQL, Power Platform, SharePoint, and MS Projects. The candidate should be comfortable working alongside technical developer teams, with an ability to elicit and translate technical requirements from non-technical stakeholders to a team of data specialists.

Previous experience in the Rail sector is highly desirable.


SCOPE

Consultants will work within our Digital consulting team. They may also operate within wider Turner & Townsend project teams from other business units. In addition, they will need to interact with clients and other project stakeholders. They will support a wide range of projects of all sizes and dimensions. From time to time this may include working with consultants from different agencies.


KEY ACCOUNTABILITIES

Assisting the team of Analysts & Consultants on a range of tasks, to include:

  • Advise clients on best practice Business Analysis methodologies
  • Documenting, analysing and agreeing the As-Is state and identifying To-Be processes
  • Managing data capture and document validation regarding a variety of projects, processes and operations
  • Supporting Data Analysts in the production of systems and models
  • Analysis of model output, producing reports and commentary
  • Supporting and adapting client's use of model outputs for decision making
  • Supporting and testing technical solution outputs to BAU services
  • Develop detailed functional and non-functional specifications
  • Collaborate with project managers and cross-functional teams to design and implement digital solutions
  • Identify opportunities for process improvements and digital innovation
  • Ensure compliance with industry standards and regulations

Other responsibilities, to include:

  • Supporting the growth of the Digital Business Analysis service offering by preparing presentations and other materials for client pitches, internal and external comms. Inputting key information into the Turner & Townsend internal database tools, e.g. opportunity tracking, invoicing. Please note training will be provided on these.
  • Supporting junior Business Analyst's career growth, with coaching and line management opportunities if desired.
  • Act as a liaison between client business units and IT teams to ensure digital solutions meet business needs.
  • Support, guide and advise on the digital transformation initiatives within the rail sector.

Qualifications

This role will require good analytic and strong numeracy skills with the ability to understand and present data in different representations. Ability, or the desire to learn, a basic understanding of languages such as VBA and SQL is preferred.

  • Degree in an analytic subject. This is not required, but preferred.
  • Business Analysis qualifications such as BCS or IIBA (desirable). Alternatively, extensive experience will be considered.

Additional Information

Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change.

We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance.


Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.