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Data Analysti with 5+ years in SQL, Python, and Power BI
Data and Operations Analyst with 5+ years of experience transforming complex operational, fleet, finance and asset data into management reports, reconciliations, dashboards and business recommendations. Experienced in e-mobility, leasing and asset-finance environments, with strengths in SQL, Python, Power BI and Advanced Excel, ERP analytics, KPI development, process automation and cross-functional reporting. Proven ability to improve data quality, strengthen operational visibility and support decisions involving revenue, collections, utilization and asset risk.
African Centre for Women, Information and Communication Technology (ACWICT)
Data Science and Analytics · Data Science and Analytics
August 1, 2020 – June 30, 2021
Kenyatta University
BA Economics (Major) & Sociology (Minor) · Economics & Sociology
August 1, 2015 – June 30, 2021
Zunu e-Mobility Ltd
Strategy & Data Analyst
June 1, 2025 – June 1, 2026
Nairobi, Nairobi, Kenya
Quipbank Limited
Analytics Manager
January 1, 2023 – January 1, 2025
Naivasha, Nakuru District, Kenya
Quipbank Limited
Data Analyst
August 1, 2021 – January 1, 2023
Naivasha, Nakuru District, Kenya
Kantar International Co.
Research Assistant
December 1, 2019 – July 1, 2021
Nairobi, Nairobi, Kenya
Data Analytics Professional
Azubi Africa
June 1, 2026 – Present
Google AI Essentials
January 1, 2026 – Present
Virtual Assistant
ALX
January 1, 2024 – Present
In-Company Trainer (International)
Delegation of German Industry and Commerce for Eastern Africa
January 1, 2023 – Present
Database Fundamentals
Microsoft
January 1, 2020 – Present
Leadership Development & Mentorship
Kenyatta University
September 1, 2019 – Present
Cultural Fit Analysis
The candidate's diverse experience across e-mobility, leasing, and research, coupled with volunteer work in microenterprise development, suggests adaptability and a commitment to impactful work. Their roles have consistently involved cross-functional collaboration and improving data-driven decision-making, indicating a collaborative and results-oriented mindset. The breadth of skills and tools used across different companies also points to a willingness to learn and adapt to new environments, which is a positive indicator for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills through their experience in stakeholder engagement, team leadership, mentorship, and cross-functional collaboration. Their ability to standardize reports, automate processes, and improve data quality indicates a strong operational fit, emphasizing efficiency and data governance. The experience in training and user enablement further highlights their capacity to drive data adoption within an organization.