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Winnie MadikizellaWM
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Winnie Madikizella

@winniemadikizella

I turn data into growth. As a Data & BI Analyst, I boost sales by 12% and cut reporting time by 80% using automation and analytics.

Kenya
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What I'm looking for

I’m looking for projects where I can apply my skills in data analysis, business intelligence, and automation to help clients make better decisions and streamline their workflows. I enjoy solving complex problems, creating actionable insights from data, and delivering solutions that drive impact.

I am a Data & Business Intelligence Analyst with over three years of experience helping businesses and mission-driven organizations escape the guesswork of bad data and turn it into actionable insights. My career has been focused on transforming complex data into a clear story, which has allowed me to drive tangible growth and make confident decisions across a variety of sectors, from social enterprises to e-commerce startups.

My Career and Expertise:

I began my journey as a Sales & Market Analyst, where I quickly learned to translate data into revenue, generating over $1.5M by analyzing customer acquisition and retention. As a Program Data Lead, I focused on using data for social impact, building dashboards that tracked over 5,000 beneficiaries to influence policy and secure funding. In my freelance work, I specialized in engineering automated BI pipelines that cut reporting time by 80%, freeing up teams to focus on strategy instead of manual work. My experience with tools such as Excel, Power BI, SQL, Python, Tableau, and AWS has enabled me to build scalable solutions that address real, business-critical problems.

Key Achievements

A passion for delivering measurable results drives my work. Here are some of my key achievements:

  • Accelerated Executive Decision-Making: I built real-time Power BI dashboards that accelerated executive decision-making by 40% and boosted marketing campaign optimization speed by the same amount.

  • Drove Revenue & Growth: I helped generate over $1.5M in new revenue and drove a 12% sales rebound in one quarter through data-driven experiments.

  • Automated & Streamlined Reporting: I engineered fully automated BI pipelines that cut the reporting workload by 80% and automated 75% of donor reports, saving over 15 hours per month.

  • Improved Data Quality & Accuracy: I improved data accuracy to 99% through validation models and standardized over 10K+ pricing records, raising data accuracy to 98%.

Interests:

Beyond my professional work, I am deeply interested in data literacy and community empowerment. My goal is to build an open-access platform to help people from all backgrounds understand and use data to improve their lives and businesses. I am always exploring how to leverage new technologies like large language models to solve complex social problems, and I am committed to sharing my knowledge by contributing to open-source projects.

Experience

Work history, roles, and key accomplishments

TA

Program Data Lead

Tulia Mama (SRHR & Advocacy)

Aug 2022 - Dec 2024 (2 years 4 months)

Designed KPI dashboards for 5,000+ users, improving targeting efficiency 25%. Automated 75% of reporting in Excel/Power BI, ensuring 99% accuracy and saving 15+ hrs/month. Performed data audits, reducing errors <1% and increased dashboard adoption by 60% via Excel, SharePoint & Teams.

ME

Sales & Market Analyst

Magna Lights Africa Ltd – Social Enterprise

Jan 2019 - Dec 2020 (1 year 11 months)

Analyzed marketing data and customer behavior, unlocking $1.5M+ in new revenue. Built dynamic Excel dashboards, cutting reporting time 35%, and improved lead conversion 15% while shortening the sales cycle 10% through targeted data analysis.

Education

Degrees, certifications, and relevant coursework

University of Nairobi logoUN

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.

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