Mohammad Saim Aslam

Data & Analytics Business Analyst with 2+ years of experience translating ambiguous business problems into structured requirements, scalable data models, and self-serve BI solutions. Delivered a 30% reduction in report generation time, 8% cut in operational costs, and a 13% rise in client satisfaction through SQL/ETL automation, KPI dashboards, and requirements-led delivery across Finance, IT, and Operations. Sits at the intersection of business consulting and technical delivery — equally comfortable facilitating a requirements workshop, writing a DAX measure, or presenting findings to a senior leadership team.

Coordinated a team of 7 analysts without formal authority across Agile sprint cycles. Proficient in Power BI, SQL, Python, and R. MSc Business Analytics – Northumbria University.

Business Consultant (Client Project) - Northumbria Business School - Newcastle upon Tyne, UK

(2025-06 - 2025-09)

• Shaped a capital investment decision end-to-end — led structured stakeholder interviews and community surveys; applied Python sentiment analysis to 200+ open-text responses to surface 3 prioritised strategic insights for senior decision-makers.
• Produced audit-ready financial models — built Excel income projections, cost models, and ROI calculations with zero discrepancies, providing the evidence base for senior sign-off on project funding.
• Bridged business and delivery across every SDLC phase — translated client requirements into Visio process maps and a structured feasibility report, ensuring stakeholder expectations were documented and traceable at every stage.
• Eliminated ad-hoc analyst reporting — designed Power BI dashboards mapped to agreed KPIs, enabling self-serve performance tracking for non-technical stakeholders.

Junior Business Analyst - Inbox Business Technologies - Islamabad, Pakistan

(2023-08 - 2024-08)

• Cut report generation time by 30% — identified manual reconciliation as the core bottleneck through stakeholder workshops and root-cause analysis; automated SQL/ETL pipelines across Finance, IT, and Operations, freeing analyst capacity for higher-value work.
• Reduced operational costs by 8% in 6 months — facilitated requirements workshops with 3 cross-functional teams to define 10+ KPIs; delivered self-serve Power BI dashboards that replaced analyst-dependent reporting.
• Raised client satisfaction by 13% — diagnosed a comprehension gap between analyst outputs and client stakeholders; redesigned SQL-generated reports into narrative-led business summaries across 3 client-facing teams.
• Eliminated cross-system data discrepancies — mapped data flows across 4 siloed source systems and built a validated SQL Server and Oracle reconciliation model, ensuring audit-ready income reporting across all periods.
• Coordinated 7 analysts without formal authority — facilitated fortnightly sprint planning and backlog refinement; channelled requirements between 5+ stakeholders and the IT team, reducing sprint carry-over and improving data quality consistency.

MSc - Business Analytics - Northumbria University (2024-09 - 2025-09)

BSc - Computer Science - NUCES FAST (2019-08 - 2023-07)