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.
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.
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
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
- 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
Laing O'Rourke is an international engineering and construction company delivering innovative infrastructure and buildings in the UK, Middle East and Australia.
With more than 150 years of experience, we are proud of our heritage of teamwork, ambition and care for the people and communities we serve. Our success is built on collaboration, the strength of our people, and a commitment to delivering reliable, high‑quality outcomes.
As part of the Disability Confident scheme, candidates who meet the essential criteria may request to be considered under the Offer an Interview Scheme. If you would like to opt in, or if you need any adjustments during the application or interview process, please let us know.
We are committed to ensuring our recruitment process is accessible and welcoming to all. If you need the application form in an alternative format or would like more information about our process, please email [email protected]
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