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- Tasks: Translate business needs into structured data and reporting requirements for water utilities.
- Company: Join Natobotics, a leader in innovative water utility solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the water utilities sector with your analytical skills.
- Qualifications: 7 years of experience in data analysis and reporting, especially in water utilities.
- Other info: Collaborative environment with strong focus on cross-functional teamwork.
The predicted salary is between 36000 - 60000 £ per year.
The Business Analyst plays a critical role in translating business needs into clear, structured data and reporting requirements across the Azure data platform. With 6–10 years of experience, the ideal candidate brings strong analytical skills, domain understanding of Water Utilities, and hands‑on expertise in defining KPI, dashboard, and semantic model requirements for enterprise reporting. This role requires strong coordination across stakeholders, high‑level understanding of Azure data pipelines, and the ability to drive clarity in complex data environments.
Key Responsibilities
- End‑to‑End Requirement Analysis: Lead discussions with business stakeholders to capture KPIs, reporting needs, and operational expectations. Document business processes, data dependencies, source behaviours, and reporting flows across utility systems.
- Data Interpretation & Integration Alignment: Understand ingestion, transformation, data quality expectations, and Lakehouse layers at a conceptual level. Define business rules, data mappings, and semantic model requirements supporting downstream reporting.
- Power BI Reporting Coordination: Work closely with reporting teams to define dashboard requirements, drill‑downs, metrics, and visualization logic. Validate report outputs and ensure KPIs are accurate, consistent, and aligned with business objectives.
- Cross‑Functional Collaboration: Coordinate with architects, data engineers, QA teams, and reporting teams to ensure requirement clarity. Bridge the gap between business needs and technical delivery across ingestion → modeling → reporting.
- Documentation & Governance: Create BRDs, FRDs, user stories, business rules, and data mapping documents with clear acceptance criteria. Support KPI dictionaries, metadata definitions, and reporting documentation to maintain consistency.
Business Analyst – Data & Reporting (Water Utilities Domain) in Leeds employer: Natobotics
Contact Detail:
Natobotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst – Data & Reporting (Water Utilities Domain) in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the water utilities domain and let them know you're on the lookout for opportunities. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for those interviews by brushing up on your Azure data platform knowledge. We all know that being able to discuss KPIs, dashboards, and data flows confidently can set you apart from the competition. Practice makes perfect!
✨Tip Number 3
Showcase your analytical skills during interviews by sharing specific examples of how you've tackled complex data environments in the past. We want to hear about your successes in translating business needs into actionable insights!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Natobotics.
We think you need these skills to ace Business Analyst – Data & Reporting (Water Utilities Domain) in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Business Analyst in the Water Utilities domain. Highlight your experience with data reporting, Azure platforms, and any relevant KPIs you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you the perfect fit. Don’t forget to mention your experience in coordinating with stakeholders and your understanding of data environments.
Showcase Your Analytical Skills: In your application, be sure to highlight specific examples of your analytical skills in action. Whether it's defining business rules or creating dashboards, we want to see how you've tackled complex data challenges in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Natobotics
✨Know Your Domain
Make sure you brush up on your knowledge of the Water Utilities domain. Understand the key challenges and trends in the industry, as well as how data and reporting play a role in addressing these issues. This will help you speak confidently about how your experience aligns with the company's needs.
✨Master the Technical Details
Familiarise yourself with Azure data platforms, data pipelines, and Power BI reporting. Be prepared to discuss your hands-on experience with defining KPIs and creating dashboards. Showing that you can translate complex data into actionable insights will impress the interviewers.
✨Prepare for Stakeholder Scenarios
Think of examples where you've successfully led discussions with stakeholders to capture their requirements. Be ready to explain how you documented business processes and ensured clarity across teams. This will demonstrate your ability to bridge the gap between technical and business needs.
✨Showcase Your Documentation Skills
Bring examples of your previous work, such as BRDs, FRDs, or user stories. Highlight how you maintain consistency in documentation and governance. This will show that you understand the importance of clear communication and documentation in a data-driven environment.
