Rohan Iskape

Data Analyst with nearly 5 years of experience across FMCG and healthcare, specializing in Business Intelligence, data visualization, and analytics engineering. Skilled in building interactive Power BI and Tableau dashboards, writing advanced DAX and SQL, and leading end-to-end analytics workflows spanning data extraction, ETL, data pipeline monitoring (BigQuery, Azure DevOps/Azure Pipelines), and data quality validation. Proficient in Python and R for statistical modelling, exploratory data analysis, and forecasting.

Experienced with Generative AI tools and AI agents for workflow and business process automation. Strong record of translating complex, multisource data into KPI reporting and strategic recommendations for senior, cross-functional stakeholders.

Associate – Analyst at General Mills (2024-10 – Present)

• Develop and maintain Consumer Contact reports using SAP Business Objects, ensuring accurate data retrieval, report customization, validation, scheduling, and timely delivery of business insights for global stakeholders.
• Develop Power BI and Tableau dashboards and self-service BI reports, enabling senior stakeholders to monitor KPIs, identify performance trends, and make informed business decisions.
• Design dynamic Advanced Excel dashboards and VBA-based automation solutions to streamline reporting, improve operational efficiency, and provide actionable business insights across cross-functional teams.
• Perform statistical modelling and data analysis in R, including data wrangling, validation, outlier detection, forecasting, and R pipeline debugging to support planning cycles and analytical studies.
• Conduct ad-hoc analysis and exploratory data analysis (EDA) using Python (Pandas, NumPy) to identify trends, generate actionable insights, and support business reporting.
• Support data pipeline validation and data ingestion monitoring using BigQuery and Azure DevOps/Azure Pipelines, verifying that data uploaded into reporting tools flows and ingests correctly, alongside data quality checks to ensure accurate, reliable analytical outputs.
• Contribute to the development and adoption of Generative AI tools and AI agents to automate repetitive analytical tasks, improve productivity, and streamline business workflows.
• Collaborate with cross-functional stakeholders to gather business requirements, define data standards, resolve reporting issues, and deliver analytical solutions aligned with business objectives.

Medical Records Analyst at Vitality Business Support Services (2021-09 – 2024-10)

• Developed and maintained interactive MIS dashboards using Advanced Excel, enabling management to monitor operational KPIs, performance trends, and business metrics for data-driven decision-making.
• Analyzed and visualized large healthcare datasets using Power BI, delivering actionable insights that supported operational planning and performance improvement.
• Wrote optimized SQL queries involving data extraction, multi-table joins, transformation, and validation to support reporting, analytics, and business intelligence initiatives.
• Automated high-frequency reporting workflows using VBA, reducing manual effort, improving processing efficiency, and enhancing reporting accuracy and reliability.
• Performed end-to-end data quality management, including data cleaning, transformation, validation, reconciliation, and consistency checks across large, complex healthcare datasets in a high-compliance environment.

Bachelor of Science in Statistics