Arun Narayanaswamy

Results-driven BI Analyst and Data Professional with over two years of experience in higher education, delivering evidence-based insight to support institutional performance, regulatory compliance and strategic decision-making. Skilled in designing and maintaining Power BI dashboards, SQL-based data models and ETL pipelines within the Microsoft ecosystem, with hands-on experience of Microsoft Fabric and Azure.

• Delivered end to end business intelligence solutions including interactive dashboards, KPI reports and self-service reporting models, providing accurate and timely performance intelligence to senior stakeholders and operational management teams to support data driven decision making.
• Wrote and maintained complex SQL scripts using CTEs, window functions, joins and subqueries to extract, transform and validate data across large operational datasets, ensuring clean, reliable data for downstream reporting and ad hoc analysis.
• Applied advanced Excel skills including pivot tables, Power Query and complex formula based analysis to validate reporting outputs, support ad hoc requests and produce structured reporting templates for stakeholders across the organisation.
• Demonstrated advanced knowledge of business intelligence software, designing and maintaining Power BI dashboards and paginated reports with optimised data models, DAX measures and automated refresh pipelines to ensure consistent, governed reporting outputs.
• Developed and maintained ETL pipelines to ingest and transform multi source datasets from SQL, JSON and CSV formats, applying data quality validation and profiling techniques to maintain accuracy and consistency across all reporting cycles.
• Gathered and documented reporting requirements through structured workshops and elicitation sessions with senior stakeholders, translating complex business needs into clear analytical outputs and BI solutions aligned to organisational goals.
• Managed a diverse analytical workload across multiple concurrent projects, working proactively on own initiative and as part of a team to prioritise tasks and consistently deliver to a high standard under competing pressures and deadlines.
• Maintained clear documentation of data models, business rules, KPI definitions and reporting specifications, ensuring reporting solutions were reproducible, auditable and aligned to organisational governance and information governance

Master of Science: Data Science, 02/2021 - 02/2022

The University of Greenwich - Greenwich, London

GPA: Distinction