• Collaborate with business users and stakeholders to gather and analyze data requirements to design and develop Power BI reports and dashboards. • Develop data models and implement data integration, transformation, and visualization using Power BI desktop and Power BI service. • Design and create visually appealing and interactive reports, dashboards, and visualizations that provide actionable insights to support business decision making. • Optimize performance of Power BI reports and dashboards to ensure fast and efficient data retrieval and visualization. • Conduct data analysis to identify patterns, trends, and opportunities for improvement, and present findings to clients in a clear and concise manner. • Work closely with cross-functional teams, including data engineers, data scientists, and business analysts, to ensure data accuracy and integrity in Power BI solutions. • Provide technical expertise and support to clients and internal teams for Power BI-related issues, including data connectivity, security, and performance. • Stay up-to-date with the latest Power BI features, updates, and industry best practices to provide cutting-edge solutions to clients. • Participate in Power BI training and knowledge-sharing sessions with team members to enhance overall team capabilities.

• Develop PySpark Notebooks within Microsoft Fabric. • Build, monitor, and support data pipelines and Dataflow Gen2 processes. • Write and optimize SQL queries to support data transformations and analytics. • Manage environment variables and configuration settings across development environments. • Implement and maintain data quality rules, monitoring, and exception handling across bronze, silver, and gold data layers. • Maintain documentation of data pipelines, from ingest to gold layer. • Prepare semantic models for reporting. • Implement role-based access controls and data security models across Lakehouses and semantic models. • Collaborate with team members using Azure DevOps and/or GitHub for version control and deployment. • Validate data quality/accuracy and assist in troubleshooting data issues. • Follow established data engineering standards and best practices. • Perform other duties as assigned.

• Power BI Report development • Building Analysis Services reporting models • Developing visual reports, KPI scorecards, and dashboards using Power BI desktop • Connecting data sources, importing data, and transforming data for Business intelligence • Implementing row-level security on data

• Collaborate with stakeholders to understand, define, and manage their reporting requirements. • Work closely with Data Engineers to ensure data models effectively support reporting needs. • Handle personal data securely and compliantly, following all relevant policies and legislation. • Develop, deploy, and maintain Power BI solutions, including data models, reports, gateways, and pipelines. • Troubleshoot and optimise the Power BI environment to ensure reliability and high performance. • Design user-friendly, intuitive Power BI reports tailored to audience needs and consumption. • Deliver user training and create clear, accessible support materials to help colleagues make the most of reporting tools. • Stay informed about industry trends and best practices, applying them to LI where beneficial. • Take a proactive approach to managing data quality and building strong stakeholder relationships.