At a Glance
- Tasks: Lead data analysis projects and bridge business needs with technical teams.
- Company: Join Laing O'Rourke, a leader in data-driven decision-making.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on continuous improvement.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Experience in data analysis and strong communication skills required.
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.
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.
Data Business Analyst in Manchester employer: Laing O'Rourke
At Laing O'Rourke, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Data Business Analyst in Dartford or Manchester, you'll benefit from a collaborative environment that prioritises professional growth, offering opportunities to engage with senior stakeholders and drive impactful data initiatives. Our commitment to innovation and continuous improvement ensures that you will be at the forefront of transforming data into actionable insights, making this an exciting and rewarding place to advance your career.
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We think this is how you could land Data Business Analyst in Manchester
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We think you need these skills to ace Data Business Analyst in Manchester
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!
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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!
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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
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✨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.
