IT Data Analytics Specialist - Reporting

Job Description JOB DESCRIPTION Job Title: Senior Analytics & Report Developer Function / Department: IT Data Analytics Reports To: Reporting Lead Role Overview We are seeking a highly skilled Senior Analytics & Report Developer with deep experience in Power BI, AWS QuickSight, Streamlit, strong mandatory SQL expertise, and modern data visualization practices. The ideal candidate will play a critical role in designing, developing, and optimizing analytical dashboards, interactive applications, and data products that support business decision-making across the organization. This role is central to our strategic journey from PowerBI to AI-driven analytics, enabling broader Analytics capabilities alongside PowerBI expertise for our relevant business use cases. This position requires a strong blend of technical expertise, analytical thinking, data storytelling, and stakeholder management. Key Responsibilities Reporting & Dashboard Development * Design, develop, and maintain advanced Power BI dashboards, reports, and datasets. * Design, develop, and maintain AWS QuickSight dashboards, analyses, and datasets, leveraging the SPICE engine for high-performance analytics. * Build interactive Streamlit applications to support advanced analytics and data-driven workflows. * Translate business requirements into intuitive, visually compelling, and accurate reporting solutions. * Optimize report performance, data models, measures, and queries for scalability and speed. Data Modeling & Integration * Develop efficient data models using best practices for semantic layers. * Leverage mandatory strong SQL expertise to write complex queries, optimize performance, and ensure data accuracy across all integration layers. * Integrate data from multiple sources (databases, APIs, Snowflake, AWS data services, etc.). * Collaborate with Data Engineering teams to define and refine data structures enabling analytical consumption across both platforms. Business Partnership * Partner with business users to understand needs, gather requirements, and translate them into technical solutions. * Provide training, guidance, and best practices for self-service reporting . * Present insights and analytical findings in clear, actionable terms to non-technical stakeholders. * Support the organisation's transition from traditional BI to AI-augmented analytics, identifying use cases where AI can enhance decision-making. Governance, Quality & Standards * Ensure adherence to data visualization standards, governance policies, and security protocols across environments. * Implement version control, documentation, and lifecycle management for analytical assets. * Proactively identify data issues and drive remediation initiatives with cross-functional teams. Innovation & Continuous Improvement * Evaluate and introduce new features in Power BI (Fabric, DAX advancements, etc.) and AWS QuickSight (ML Insights, QuickSight Q, Generative BI capabilities). * Identify opportunities to automate manual reporting processes and leverage AI/ML for predictive and prescriptive analytics. * Drive ado