Winnie Madikizella
@winniemadikizella
Data Analyst with 5+ years of experience in business intelligence.
What I'm looking for
I am a Data & Business Intelligence Analyst with over 5 years of experience transforming complex datasets into actionable insights. My expertise lies in Excel, Power BI, and SQL, where I have successfully reduced manual reporting by up to 80%. My work has spanned various sectors, including SRHR advocacy and CRM optimization, delivering ETL improvements and compliance-ready reporting across 10+ countries.
Throughout my career, I have engineered automation solutions that streamline operations, achieving a 40% reduction in manual effort. I am passionate about designing lightweight BI systems for mission-driven organizations, ensuring that data storytelling promotes equity and inclusivity. My commitment to data ethics and community engagement has allowed me to facilitate impactful research and advocacy initiatives, reaching diverse audiences and fostering collaboration among stakeholders.
Experience
Work history, roles, and key accomplishments
Freelance Data Analyst
Open to Opportunities
Jan 2025 - Apr 2025 (3 months)
Delivered a pricing strategy for a U.S. startup by analyzing 1,500+ geo-tagged data points using Google/Bing Maps, projecting a 10% revenue increase. Created a 10,000+ entry Excel logbook with built-in validation rules, accurately transcribing and entering records from multiple sources, reducing manual work by 80%.
Program Data Lead (SRHR & Advocacy)
Tulia Mama
Aug 2022 - Dec 2024 (2 years 4 months)
Led data systems for gender-sensitive health programs, facilitating community dialogues and designing interactive Power BI dashboards to track SRH KPIs. Developed Excel models and automated reports using VBA, standardizing data pipelines with SQL, Power Query, and Excel.
Education
Degrees, certifications, and relevant coursework
University of Nairobi
Bachelor’s Degree, Economics and Statistics
Completed a Bachelor’s Degree in Economics and Statistics, gaining foundational knowledge in economic principles and statistical analysis. This program provided a strong quantitative background essential for data interpretation and decision-making.
Availability
Location
Authorized to work in
Website
portfolio.comPortfolio
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