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Senior Analyst with 4+ years in Statistical Analysis & Business Intelligence
Data Analyst and Applied Statistician with over three years of professional experience analyzing large datasets, developing analytical reports, validating data quality, and transforming complex information into actionable business insights. Experienced in Excel, SQL, Power BI, Tableau, R, SPSS, and statistical analysis, with proven expertise in data cleaning, visualization, dashboard reporting, market intelligence, and trend analysis. Strong attention to detail with excellent analytical and problem-solving skills. Passionate about using data to drive business decisions in fast-paced remote environments.
University of Kabianga
Master of Science (MSc.) · Applied Statistics
August 1, 2018 – June 30, 2022
University of Kabianga
Bachelor of Science · Applied Statistics with Computing
August 1, 2013 – June 30, 2017
Tridge
Global Market Analyst (Remote)
October 1, 2022 – March 1, 2026
India
Kenya National Bureau of Statistics (KNBS)
Content Supervisor – 2019 Kenya Population and Housing Census
July 1, 2019 – August 1, 2019
Kenya
Rielco Company Ltd (SNV Livestock Intensification Project)
Consultant
June 1, 2019 – July 1, 2019
India
County Government of Kericho
Research Assistant
May 1, 2019 – June 1, 2019
Kericho, Kericho County, Kenya
Tenwek Mission Hospital
Data Management Attachee
May 1, 2016 – July 1, 2016
India
The Causal Relationship between Type 2 Diabetes Mellitus and Ovarian Cancer: Two-Sample Mendelian Randomization
International Journal of Tropical Disease & Health
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience spans various sectors including agriculture, public statistics, and healthcare, indicating adaptability and a broad perspective. The academic background in applied statistics and practical experience in data analysis align well with roles that value data-driven decision-making and rigorous analytical approaches. The publication and conference presentation also highlight a commitment to research and knowledge sharing, which can be a positive cultural asset.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, excellent communication skills, high attention to detail, and the ability to work independently in remote environments. These traits suggest a good operational fit for roles requiring meticulous data handling, clear reporting, and self-management. Experience in coordinating field teams and working with cross-functional teams indicates collaborative potential.