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Data Science with 7+ years in Business Intelligence & Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled Marketing and Business Intelligence Analyst with 7.7 years of experience in data collection, analysis, interpretation, and visualization. Proficient in advanced Excel, SQL, and Python for transforming raw data into actionable business insights. Proven ability to create interactive dashboards using Power BI and Tableau, identify trends, and provide data-driven recommendations that significantly impact business performance and strategic decision-making. Adept at ensuring data accuracy, improving data quality, and communicating complex findings to diverse audiences.
Africa Nazarene University
Bachelor of Science · Business Information Technology
N/A – June 30, 2018
Compulynx Limited
Marketing and Business Intelligence Analyst
October 1, 2021 – Present
Nairobi, Nairobi, Kenya
KCB Bank Kenya Limited
Financial Analytics and Business Intelligence Analyst
September 1, 2018 – September 1, 2021
Nairobi, Nairobi, Kenya
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Tableau Desktop Certified Professional
Tableau
June 1, 2026 – Present
Business Analytics Certification
Unknown
June 1, 2026 – Present
SQL for Data Science Certificate
Unknown
June 1, 2026 – Present
CPA(K) Certified Public Accountant Kenya
Unknown
June 1, 2026 – Present
Microsoft Power BI Data Analyst Associate (PL-300)
Microsoft
June 1, 2026 – Present
Python for Data Science (IBM Coursera)
IBM Coursera
June 1, 2026 – Present
Excel Expert (Microsoft Office Specialist)
Microsoft Office Specialist
June 1, 2026 – Present
Diploma in Information Technology
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across two different companies (Compulynx Limited and KCB Bank Kenya Limited) in similar analytical roles demonstrates adaptability and a consistent application of data science skills in varied business contexts. The breadth of their technical skills (SQL, Python, multiple visualization tools) and certifications indicates a proactive approach to learning and professional development. Their involvement in cross-functional teams and focus on delivering actionable insights aligns well with a collaborative, data-driven culture. The lack of project diversity outside of professional roles might suggest a more focused, rather than exploratory, approach to data science, which could be a fit depending on the specific team's needs.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, meticulous attention to detail, and the ability to work both independently and collaboratively. Their experience highlights effective cross-functional collaboration and clear communication of complex data to diverse audiences, which are crucial for operational fit in a data science role. The emphasis on data quality and accuracy also indicates a strong operational mindset.