Asad Saeed

Senior Power BI & Business Intelligence professional with 5+ years of experience delivering enterprise analytics, executive dashboards, and cloud-based data solutions. Proven expertise in Power BI, DAX, SQL, data modeling, ETL pipelines, and cloud platforms (Azure & Google Cloud) to transform complex datasets into actionable insights. Strong background in partnering with C-level stakeholders to define KPIs, implement data governance frameworks, and drive data-informed decision-making.

Adept at building scalable BI architectures, optimizing performance, and enabling business growth through advanced visualization and analytics.

Senior BI Developer at 24|7 Home Rescue (2021-11 – Present)

Pioneer the Business Intelligence function as the first Power BI hire, leading the transition from 100% Excel-based reporting to an enterprise-grade analytics platform.

• Migrate all critical reporting to Power BI across 6+ functions, enabling CEO, CTO, directors, and senior leaders to track strategic KPIs in real time
• Build and scale a centralized Power BI and SQL Server architecture processing millions of records with secure access, strong performance, and governance
• Deliver 25+ advanced dashboards with real-time refresh, drill-through analysis, and role-based security, used by 40+ active stakeholders
• Reduce weekly reporting effort by approximately 25 to 30 hours through automation, reusable data models, and self-service analytics
• Design predictive forecasting dashboards that identified seasonal claim spikes of 3.5x to 4.5x in winter versus 1.5x in normal months, with 90 to 95% forecast accuracy
• Establish and led the MIS function from scratch, defining enterprise KPIs, reporting standards, and data governance to embed data-driven decision making

BI Data Engineer at Veeve (2021-01 – 2021-11)

Remote role designing and implementing scalable cloud data pipelines and enterprise analytics solutions.

• Designed and implemented scalable cloud data pipelines using Google Cloud Storage, Firebase, Firestore, and BigQuery, supporting analytics for 10 plus datasets and millions of records
• Built and maintained a centralized BigQuery data warehouse integrated with Power BI, reducing data duplication by over 70 percent and establishing a single source of truth
• Evaluated reporting limitations and led full migration from Google Data Studio to Power BI, improving dashboard usability and insight clarity for 5 plus senior stakeholders
• Designed, developed, and deployed 10 plus interactive Power BI dashboards supporting executive, operational, and analytical decision making
• Enabled real time monitoring of customer activity logs and end to end customer journeys, improving operational visibility for CTO and leadership by over 60 percent
• Optimized SQL and BigQuery queries, improving query performance by 40 to 50 percent on large datasets
• Reduced dashboard preparation and refresh cycles from multiple hours to under 10 minutes, increasing reporting agility by more than 80 percent

Power BI Developer at Artistic Milliners (2020-01 – 2021-01)

Delivered complete BI strategy and implementation, transitioning from fragmented Excel-driven reporting to enterprise Power BI and Tableau solutions.

• Joined with a fragmented Excel-driven reporting environment despite Oracle availability. Delivered a complete BI strategy within two months
• Recommended and led Power BI implementation for the EU region and Tableau for the US region
• Designed, developed, and deployed 15 plus brand-specific dashboards for EU and US brands including Jack and Jones, H and M, Mango, GAP, and Levis
• Built real-time Power BI dashboards by modeling OMS transactional data, enabling leadership to monitor performance and resource utilization
• Developed robust data models and DAX calculations to ensure accurate KPI reporting and consistent business logic across reports
• Standardized end-to-end data pipelines from Oracle to BI platforms, ensuring scalable, governed, and consistent reporting across regions
• Reduced report preparation and refresh cycles from several hours per week to minutes through automation and standardized models

Power BI Developer at SBT Co. Ltd (2019-01 – 2020-01)

Designed and maintained relational data models and applied statistical techniques to interpret healthcare datasets.

• Designed and maintained relational data models to enable efficient data retrieval, analysis, and visualization for business and research use cases
• Applied statistical and analytical techniques to interpret healthcare datasets, supporting data-driven assessments and research outcomes
• Extracted and transformed data from MongoDB using APIs, delivering interactive visualizations via Highcharts and BI tools
• Investigated and resolved data integrity and data flow issues, ensuring accuracy and reliability across reporting systems
• Documented comprehensive business rules, use cases, and technical requirements to support analytics development and stakeholder alignment
• Collaborated with cross-functional teams to translate analytical findings into clear, actionable insights for operational and strategic use

Bachelor of Science in Computer Science – PAF-KIET, Karachi, Pakistan (2020)