Muhammad Asif

• Led business requirements gathering with C-suite stakeholders, translating strategic objectives into measurable
KPI frameworks and actionable data deliverables aligned with organizational growth targets.
• Designed 10+ executive Power BI and Tableau dashboards tracking sales revenue, customer acquisition cost,
and campaign ROI, reducing manual reporting time by 40% for 15+ senior stakeholders.
• Conducted root cause and gap analysis on 500K+ records using Python (Pandas), identifying process inefficiencies
that drove a 25% improvement in operational efficiency.
• Performed A/B testing and customer segmentation, optimizing marketing budget allocation and improving cam
paign ROI by 22%.
• Produced weekly and monthly executive reporting packs summarising business performance, variance against
targets, risk indicators, and strategic recommendations to support leadership planning cycles.

• Designed 5+ Tableau dashboards for client data management and KPI tracking, providing real-time visibility into
business performance metrics
• Conducted comprehensive data analysis on client datasets using Excel Power Query and SQL, identifying trends
and delivering actionable recommendations
• Built automated reporting systems that reduced manual work by 50%, enabling faster access to critical business
insights
• Managed end-to-end data quality processes ensuring 99% accuracy across all client deliverables and analytics projects

• Mapped current-state processes and defined reporting requirements with business stakeholders, designing
analytical solutions that reduced decision cycle time by 30% across sales and finance teams.
• Cleaned and validated 200K+ records using SQL and Python, improving data quality and delivering governance
compliant, audit-ready reporting outputs.
• Optimized SQL pipelines in SQL Server, cutting report generation time by 50% and freeing 10+ analyst-hours per
week for higher-value analytical work.
• Delivered RFM segmentation and lifetime value analysis across 300K+ customers, informing retention strategies
that improved marketing efficiency by 25%.

• Built interactive visualizations using Tableau and Python to present revenue trends and customer insights to
stakeholders
• Performed data analysis to identify patterns in customer behavior, supporting marketing strategy and business
planning
• Conducted RFM analysis for customer segmentation, helping optimize marketing campaigns and improve customer
targeting