Data Analytics

Analyse large and complex datasets to identify trends, patterns, and actionable insights that support business decision-making. Develop and optimize SQL queries, data models, and analytical datasets for reporting and advanced analysis. Design, build, and maintain BI dashboards and reports using enterprise BI tools such as Power BI, Tableau, or Looker. Work with cloud platforms like Azure, AWS, or GCP to access, process, and analyse data at scale. Perform data preparation, transformation, and validation using Python, PySpark, and Databricks. Collaborate closely with data engineering teams on data pipelines, data quality checks, and performance optimization. Apply data modelling principles including dimensional modelling and fact/dimension tables to ensure scalable and reusable analytical datasets. Support AI-driven analytics initiatives including exploratory analysis and feature preparation. Contribute to Agile delivery environments through sprint planning, backlog refinement, and demos. Maintain documentation and governance artifacts using JIRA, Confluence, and DevOps tools.