As a Data Insights & Analytics Analyst, you’ll combine technical analytics capability with strong stakeholder engagement and business partnering skills.
You’ll be responsible for owning and delivering reporting and analytics activities aligned to contractual, operational, and customer requirements, while also supporting the evolution of reporting capability through automation and modern analytics approaches.
The role will involve working across multiple data sources and operational systems to ensure reporting outputs are accurate, reliable, and delivered in line with defined cadences and expectations.
Own and deliver contractual, operational, and service delivery reporting outputs, ensuring all obligations are met accurately, on time, and across defined reporting cadences (daily, weekly, monthly, and ad-hoc)
Execute and manage end-to-end reporting processes and data pipelines, including data extraction, transformation, validation, reconciliation, and secure delivery, while ensuring performance, scalability, and reliability
Build and enhance scalable reporting solutions, dashboards, and analytics workflows, applying strong data quality, reconciliation, and assurance practices to maintain accurate, complete, and audit-ready reporting outputs
Monitor reporting pipelines and workflows to identify and resolve issues, including contributing to incident investigation, root cause analysis, and remediation
Work closely with stakeholders to ensure reporting aligns to service performance, contractual commitments, and customer expectations
Ensure reporting outputs adhere to governance, data quality, and controlled data handling requirements, particularly within secure and regulated environments
Prepare and present insights that support operational and service delivery decision-making, while maintaining a strong focus on accuracy and consistency
Support automation and AI-assisted analytics initiatives to improve reporting efficiency, insight generation, and operational performance
Contribute to the evolution of reporting capability through automation uplift, platform transition, and modern analytics approaches
Identify opportunities to improve reporting scalability, efficiency, and resilience across existing processes
Develop and maintain documentation, runbooks, and standard operating procedures to support consistent delivery and reduce single points of failure
Support onboarding of new reporting requirements, customer needs, and platform changes, ensuring continuity of service.
Experience working with SQL for data extraction, interrogation, and reporting
Experience using Python (Pandas/NumPy preferred) for analytics or automation activities
Experience with Power BI, Tableau, or similar visualisation platforms
Strong understanding of data modelling, ETL/ELT pipelines, and reporting architecture concepts
Awareness of secure analytics environments supporting Defence, Government, or regulated customers
Advanced Excel capability
Exposure to Azure, Microsoft Fabric, or modern cloud-based analytics automation tools and environments preferred
Exposure to AI/ML, predictive analytics, or automation approaches advantageous
Exposure to operational or service delivery data sources advantageous (e.g. Service Now, Remedy, Helix and Splunk)
Exposure to data migration or platform transformation initiatives advantageous
