Data Analytics Engineer

ROLE SUMMARY

Design and develop reporting and analytics solutions that provide operational and management insight from complex data sources.

ROLE CONTEXT

The role will shape a reporting capability for operational services where accuracy, lineage and controlled access are critical.

Solutions will bring together workflow, case, quality and delivery data to support day-to-day management and evidence-based decision-making.

KEY RESPONSIBILITIES-

• Develop and maintain Power BI dashboards, reports and datasets.
• Translate business requirements into effective visualisations and reporting solutions.
• Build data models, measures and calculations using Power Query and DAX.
• Integrate multiple data sources and ensure reporting accuracy and consistency.
• Develop reusable reporting patterns and support a scalable reporting capability.
• Optimise dashboard performance and user experience.
• Work with analysts and stakeholders to iterate requirements through discovery and delivery.
• Apply appropriate security and access controls to reporting solutions.
• Define report-level data-quality checks, reconciliation controls and clear metric definitions.
• Document dataset lineage, refresh dependencies and support arrangements for production reporting.

KEY SKILLS & EXPERIENCE-

• Strong commercial Power BI development experience.
• DAX, Power Query and dimensional data modelling.
• SQL and relational data sources.
• Dashboard design and data visualisation best practice.
• Experience working with complex or operational datasets.
• Azure data-services experience is advantageous.
• Ability to work directly with business users to refine reporting requirements.
• Experience with row-level security, deployment pipelines, gateways and governed self-service reporting is desirable.