Muhammad Ali

Results-driven Business Intelligence Analyst with 4+ years of experience delivering data-driven insights across healthcare, real estate, and trade sectors. Specialist in Power BI, SQL, and Snowflake, with a strong track record of building scalable data pipelines, automating reporting processes, and enabling executive-level decision-making. Proven ability to translate business requirements into analytical solutions, improving operational efficiency, reporting accuracy, and KPI visibility.

BI Analyst at Chordline Health (2024-11 – 2026-03)

Healthcare Analytics

• Designed and implemented scalable ELT pipelines (SQL Server → Snowflake via Airbyte), reducing manual reporting effort by 40% and enabling real-time business insights for stakeholders.
• Engineered data validation and quality checks on clinical datasets, improving reporting accuracy and reducing data discrepancies by 15%.
• Conducted exploratory analysis, provided support and guidance to team members on data tools, reporting dashboards, and analytical techniques.
• Developed 8+ enterprise Power BI dashboards with advanced DAX, scenario analysis, and Row-Level Security (RLS) — supporting 20+ business users with controlled, compliant data access.
• Collaborated with cross functional team and operations stakeholders on ad-hoc analysis and standardized KPI metrics, reducing reporting turnaround by 30%.

Data Analyst at Al-Jalil Developers (2024-01 – 2024-11)

Real Estate & Property Analytics

• Cleansed and consolidated analytics-ready datasets from 5+ business sources, improving reporting consistency and reliability for management reviews.
• Developed 10+ Power BI dashboards tracking sales performance, customer engagement, recovery KPIs, and revenue trends — reviewed in weekly C-suite meetings.
• Applied DAX calculations and A/B testing to evaluate campaign effectiveness, contributing to 10–15% improvement in ROI tracking accuracy.
• Supported business teams by providing analytical insights, performance analysis and operational reporting to track KPIs to improve decision-making by 20%.

Junior Data Analyst at iCustoms (2022-11 – 2023-12)

International Trade Data & Analytics

• Analyzed international trade datasets covering thousands of import/export records, identifying tariff trends and market indicators for research reporting.
• Processed multi-format data (Excel, JSON, text) and conducted tagging, audits, and UAT checks, reducing data errors by 20%.
• Prepared operational and performance reports using Microsoft Excel and SQL to support business decision making to improve reporting efficiency by 30%.

Inventory Management Executive at Adil Computers (2021-02 – 2022-11)

IT

• Monitored and maintained accurate inventory records, ensuring proper stock levels and reducing discrepancies through regular stock audits and data tracking.
• Coordinated with procurement and warehouse teams to manage incoming and outgoing inventory, improving stock availability and supporting efficient supply chain operations.
• Analyzed inventory data using Excel and reporting tools to track stock movement, identify shortages, and support better purchasing and replenishment decisions.

Bachelor of Science in Mathematics – University of Education, Lahore, Pakistan (2018 – 2022)