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Data Analyst with 3+ years in data visualization & business intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with 3+ years of experience transforming complex datasets into actionable business insights. Proficient in SQL, Python, R, Power BI, Tableau, and Azure-based data workflows. Proven ability to build interactive BI dashboards, optimise database performance, and partner with cross-functional teams to define KPIs and support data-driven decision-making across digital health, retail, and consulting environments.
Multimedia University of Kenya
BSc Actuarial Science · Actuarial Science
N/A – June 30, 2022
Mbooni Girls National School
Kenya Certificate of Secondary Education (KCSE)
N/A – May 31, 2017
MYDAWA
Data Analyst
February 1, 2025 – Present
Nairobi, Nairobi, Kenya
iPlace City Kenya
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Nairobi, Nairobi, Kenya
SafetyPlus Consulting Limited
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Wise Solutions Ltd
Sales Data Support Analyst
February 1, 2020 – September 1, 2020
Kenya
Bellabeat Smart Device Analysis
November 1, 2024 – December 1, 2024
Analysed smart device usage data to uncover user behaviour patterns across activity, sleep, and calorie expenditure. Built visualisations in R (ggplot2) and Tableau; produced strategic marketing recommendations to guide business positioning.
Google Data Analytics Professional Certificate
January 1, 2024 – Present
Green Digital Skills Certification
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience spans digital health, retail, and consulting, indicating adaptability to different industry contexts. Their involvement in a capstone project and volunteer work suggests a proactive learning attitude and community engagement. The breadth of tools and methods used (SQL, Python, R, Power BI, Tableau, Excel, statistical modeling) shows a versatile skill set suitable for diverse data challenges. The Actuarial Science background provides a strong foundation in quantitative analysis and risk assessment, which is valuable for a data analyst role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project and work experience, particularly in identifying patterns, optimizing performance, and making data-driven recommendations. Their experience in collaborating with cross-functional teams (product, sales, operations) and leadership indicates good communication and teamwork abilities. The volunteer experience also suggests a proactive attitude and willingness to engage in diverse data environments.