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Business Analyst with 1+ years in Data Analytics & BI
Business Analytics professional with experience in the M-Pesa and digital financial services ecosystem, specialized in transforming complex data into actionable business insights and strategic decisions. Experienced in developing executive dashboards, performance monitoring frameworks, and data-driven solutions to support revenue protection and business growth initiatives. Strong exposure to SQL, Power BI, Oracle technologies, ETL processes, and analytical automation within high-performance environments. Recognized for combining analytical thinking, stakeholder management, and project execution capabilities to deliver impactful cross-functional initiatives.
VODAFONE M-PESA
BUSINESS ANALYST & PROJECT MANAGER
November 1, 2024 – Present
India
RECOP - AWARDED CONTRACTS 2021-2022
DATA ANALYST
December 1, 2023 – November 1, 2024
India
Excel
CFI
June 1, 2026 – Present
Power BI
CFI
June 1, 2026 – Present
SQL
CFI
June 1, 2026 – Present
Python
CFI
June 1, 2026 – Present
Business Intelligence
CFI
June 1, 2026 – Present
Data Science Specialist
CFI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with M-Pesa, a large digital financial services provider, suggests adaptability to fast-paced, high-impact environments. Their academic background includes international coursework, indicating an openness to diverse perspectives. The breadth of skills across data analytics, BI, data engineering, and project coordination suggests a versatile individual who can contribute to various aspects of a business analytics team. The focus on strategic decision-making and revenue protection aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, stakeholder management, and project execution capabilities. Their experience in cross-functional collaboration and supporting strategic projects indicates a good operational fit for roles requiring coordination and data-driven decision-making. The profile highlights proactive analysis and anomaly identification, which are critical for operational excellence.