Data Analyst

Role Summary The Data Analyst is responsible for transforming data into actionable insights that support business decision-making. The role requires strong business context understanding, stakeholder engagement, analytical thinking, and data visualisation expertise to communicate insights effectively. Key Responsibilities Business Analysis & Insights • Develop a deep understanding of business processes, operational challenges, and policy objectives. • Partner with stakeholders to understand business needs and translate them into analytical requirements. • Analyse datasets to identify trends, opportunities, risks, and performance indicators. • Provide recommendations and insights that support data-driven decision-making. Analytics & Data Visualisation • Build, enhance, and maintain dashboards for performance reporting, operational monitoring, and user behaviour analytics. • Design intuitive and impactful visualisations that effectively communicate complex findings to business users. • Apply data storytelling techniques to present insights to both technical and non-technical audiences. • Define and track business metrics Data Preparation & Analysis • Query, clean, and analyse data using SQL, Python, and Databricks. • Validate and interpret data to ensure analytical outputs are accurate and meaningful. • Collaborate with data engineers to improve data accessibility and usability for reporting purposes. Documentation & Knowledge Management • Develop user guides and business documentation for dashboards, reports, and analytical products. • Maintain documentation on reporting methodologies, metric definitions, and analytical standards. • Support agile delivery activities such as requirements gathering, user story creation, and acceptance testing. • Explore automation opportunities to improve reporting and analytics workflows. Competencies & Requirements Technical Skills • Proficiency in SQL and Python for data analysis. • Hands-on experience with dashboard and visualisation tools (e.g. Databricks, Power BI). • Experience using Databricks or similar analytics platforms. • Ability to create compelling visualisations and data stories for diverse audiences. • Strong documentation and report-writing capabilities. Preferred Skills • Understanding of business intelligence and KPI frameworks. • Familiarity with Jira, QA testing, and agile delivery practices. Soft Skills • Strong business acumen and ability to understand operational and policy contexts. • Excellent communication and stakeholder management skills. • Ability to translate technical findings into meaningful business insights. • Strong analytical mindset, curiosity, and problem-solving abilities. • Attention to detail and commitment to delivering high-quality outputs.