Shivan Maharaj

Data Analyst with 6+ years of experience in Excel, Python, SQL, and Power BI, specializing in data cleaning, exploratory analysis, and interactive dashboards. Proven at turning raw business data into clear insights that improve reporting efficiency and decision-making.

Freelance Data Analytics Consultant at Freelance (2022-09 – Present)

• Optimized data pipelines and reporting workflows, reducing manual reporting effort by 35% and improving accuracy of performance dashboards used by leadership teams.
• Designed KPI frameworks and compensation-tracking dashboards for SME clients to monitor revenue performance and staff incentives in real time.
• Integrated multi-source data (CRM exports, financial ledgers, and campaign data) using SQL and Python for unified reporting and payout reconciliation.
• Automated Excel- and Power BI-based performance reports, reducing turnaround from days to hours and ensuring alignment between targets and actual results.
• Supported cross-functional process improvement by identifying workflow bottlenecks and implementing automation solutions in reporting and CRM tracking.

Financial Advisor at Sanlam (2021-09 – 2022-08)

• Leveraged statistical analysis to identify market trends, driving a 12% improvement in forecast accuracy for client portfolios.
• Built financial forecasts and variance models that optimized investment strategies and reduced portfolio risk by 10%.
• Delivered actionable insights through interactive Power BI dashboards, improving client decision-making speed by 30%.
• Utilized SQL and PostgreSQL to streamline financial data extraction and analysis, reducing reporting time from days to hours.
• Partnered with clients to design tailored investment strategies, contributing to a 15% increase in client retention.

Operations Manager at Margate Health Consortium (2018-01 – 2020-12)

• Designed and deployed operational dashboards that improved staff scheduling efficiency by 20%, reducing overtime costs.
• Standardized data collection across multiple units, cutting manual entry errors by 40% and ensuring compliance with healthcare standards.
• Implemented data-driven resource planning models, lowering supply costs by 15% while improving allocation accuracy.
• Established KPI tracking systems that improved departmental performance reviews and ensured ongoing compliance with national healthcare regulations.

Course in Python for Data Analytics & Business Intelligence – Udemy (2025-09)

Course in The Complete SQL Masterclass – Udemy (2025-07)

Professional Certificate in Google Data Analytics Professional Certificate – Coursera (2022-09)

Course in The Microsoft Excel Data Analysis Toolkit Bundle – Udemy (2025-10)