At a Glance
- Tasks: Lead business analysis for data initiatives, translating needs into actionable solutions.
- Company: Join Laing O'Rourke, a global leader in engineering and construction.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and continuous improvement.
- Why this job: Make an impact by bridging business and tech in the exciting world of data and AI.
- Qualifications: Experience in business analysis, data platforms, and strong communication skills.
The predicted salary is between 45000 - 55000 £ per year.
Location: Dartford or Manchester
At Laing O'Rourke, we're transforming how we use data to drive smarter decisions and better outcomes. We're looking for a Data Business Analyst to bridge business needs with our AI, Data & Analytics delivery ecosystem. This is a business-facing role where you'll partner with senior stakeholders to ensure data initiatives are clearly defined, aligned to business priorities, and delivered effectively.
The Opportunity
As a Data Business Analyst, you'll combine strong business analysis expertise with an understanding of modern data platforms. Acting as a key link between business stakeholders and technical teams, you'll help translate requirements into scalable, value-driven data solutions.
Key Responsibilities
- Lead end-to-end business analysis across data and analytics initiatives, translating business problems into clear requirements, use cases and measurable success criteria.
- Develop process maps, user journeys and data flows, ensuring requirements are prioritised based on business value and strategic outcomes.
- Work across core data domains including Data Lakehouse, Data Engineering, Architecture and Power Platform, acting as the bridge between business stakeholders and technical teams.
- Ensure solutions are scalable, reusable and aligned to data governance and architectural standards.
- Maintain oversight of delivery, including scope, timelines, dependencies and expected outcomes.
- Proactively identify risks, blockers and potential delays, driving mitigation and escalation where required.
- Partner with senior business stakeholders as a trusted advisor, facilitating workshops, requirement sessions and governance forums.
- Communicate complex data concepts in a clear, outcome-focused way to drive understanding and engagement.
- Support a data product approach by defining KPIs, success measures and expected business benefits.
- Track value realisation post-delivery, ensuring data and analytics solutions are adopted and drive decision-making.
- Promote best practice in data governance, including data usage, access and stewardship, working closely with data owners and custodians.
- Support the delivery of Power BI and self-service analytics solutions, ensuring outputs are intuitive, well-documented and accessible to business users.
- Maintain high-quality documentation, including business requirements, data definitions and process flows.
- Drive continuous improvement across business analysis practices, stakeholder engagement and delivery governance.
Skills & Experience
Essential
- Strong Business Analyst experience in data, analytics or digital environments.
- Ability to translate between business and technical teams.
- Working knowledge of data platforms (e.g. Data Lakehouse, pipelines, modelling).
- Experience with Power BI or similar tools.
- Strong stakeholder management, including senior leaders.
- Understanding of data governance, quality and lifecycle.
Desirable
- Experience in large-scale data programmes or transformation.
- Exposure to AI or advanced analytics.
- Agile or hybrid delivery experience.
- Basic SQL skills.
What We're Looking For
- Strong communicator who can simplify complexity.
- High level of ownership and accountability.
- Outcome-focused and commercially aware.
- Confident partnering with senior stakeholders.
- Structured, proactive and able to operate at pace.
About us:
We are an international engineering and construction company delivering state-of-the-art infrastructure and buildings projects for clients in the UK, Middle East and Australia. Certainty, reliability, quality – this is what our clients want. And at Laing O'Rourke, we have more than 150 years of experience delivering it. Laing O'Rourke's story is one of energy, passion, ambition, people and teamwork. We harness the power of our experience, stretching back over a century and a half to deliver certainty for our clients.
As part of the Disability Confident scheme, we would like to enable access to candidates with long term health conditions and disabilities through the ‘Offer an interview scheme'. This supports applicants that meet the essential criteria by offering an interview for the advertised position. Please let us know prior to interview what adjustments are required as well as discussing how we can support you in the workplace.
We want to ensure our recruitment process is accessible to all. If you need the application form in an alternative format or you would like to know more about our recruitment process, please email resourcingteam@laingorourke.com
Business Analyst - Data & AI in Dartford employer: Laing O'Rourke
Laing O'Rourke is an excellent employer that fosters a collaborative and innovative work culture, particularly in the dynamic environment of Stansted. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and the chance to lead impactful projects within the aviation sector, all while being part of a forward-thinking team dedicated to excellence in procurement.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst - Data & AI in Dartford
✨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 Laing O'Rourke!
✨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 Business Analyst - Data & AI at Laing O'Rourke.
✨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 Laing O'Rourke.
✨Apply Directly through Our Website
When you find a suitable opening like Business Analyst - Data & AI at Laing O'Rourke, 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 Business Analyst - Data & AI in Dartford
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 Laing O'Rourke, 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 Laing O'Rourke. 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 Laing O'Rourke
✨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 Laing O'Rourke!
✨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.
