Numan Akhtar

Accounting and Finance graduate with 4 years of experience as a Business Intelligence and Data Analyst, specializing in transforming complex data into actionable business insights. Proficient in Power BI, SQL, Snowflake, Microsoft Fabric, Power Query, DAX, and Salesforce, with hands-on experience in designing interactive dashboards, developing data models, automating reporting processes, and optimizing analytics solutions. Experienced in collaborating with cross-functional stakeholders to deliver scalable, data-driven solutions that improve reporting accuracy and support strategic decision-making.

Specialist, Business Intelligence at S&P Global Market Intelligence (2023-03 – Present)

• Designed and developed executive-level Power BI dashboards and analytics solutions used by senior leadership and sales teams for strategic decision-making.
• Built scalable BI solutions using SQL, Snowflake, Microsoft Fabric (Lakehouses, Warehouses, Dataflows, Pipelines), and DAX to support enterprise reporting and analytics.
• Led Snowflake audit to support enterprise platform adoption, applying design thinking and analytical problem-solving to create intuitive, business-focused BI solutions.
• Conducted sales analytics, data audits, QA validation, and business reporting to ensure data accuracy and provide actionable insights for decision-making.

Associate, Business Intelligence at S&P Global Market Intelligence (2022-02 – 2023-03)

• Automated reporting and data transformation processes using Power Query and Power Automate, improving efficiency and reducing manual effort.
• Utilized Salesforce, Excel Analysis Services, and Einstein Analytics (Tableau CRM) to extract and visualize business data, ensuring dashboards and data flows remained up-to-date.
• Conducted business and operational analysis using Excel to enhance data-driven decision-making across organization.
• Facilitated company merger by integrating datasets from both organizations and producing unified executive synergy reports.

B.S. in Accounting and Finance – National University of Computer and Emerging Sciences (FAST) (2022)