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Data Analyst with 1+ years in data analytics & 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
Detail-oriented and analytically driven Data Analyst with a First Class degree in Agronomy (CGPA 6.00/7.00, Top 1%) from the University of Ibadan. Certified in Data Analytics by Quantum Analytics (Excel, Power BI, PostgreSQL, Problem Solving) and Betechified. Experienced in collecting, cleaning, and interpreting complex datasets from laboratory and field research, and proficient in building visual dashboards and data-driven reports. Passionate about transforming raw data into actionable insights that support strategic decision-making. Actively seeking a Data Analyst role to apply and grow skills in a dynamic, data-driven environment.
University of Ibadan
Bachelor of Agriculture · Agronomy
August 1, 2016 – June 30, 2021
MicroTech Africa
Data Analyst Intern
June 1, 2026 – Present
India
University of Ibadan
Graduate Research Assistant
September 1, 2024 – December 1, 2025
Ibadan North, Oyo State, Nigeria
Federal Ministry of Agriculture & Rural Development
Graduate Intern
February 1, 2022 – March 1, 2023
Abuja, Federal Capital Territory, Nigeria
University of Ibadan
Undergraduate Researcher
June 1, 2020 – December 1, 2021
Ibadan North, Oyo State, Nigeria
Niji Institute of Sustainable Agriculture
Undergraduate Intern
July 1, 2019 – October 1, 2019
Ibadan North, Oyo State, Nigeria
Data Analyst Track Training
Quantum Analytics
May 1, 2026 – Present
Data Analytics
Betechified
January 1, 2026 – Present
Digital Skills Training
Career Crafters Academy
January 1, 2025 – Present
Project Management Training
Girls Africa Initiative
January 1, 2024 – Present
Microsoft Office Proficiency
Skylight Global Institute
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse experience across academic research, government internships, and a current tech internship, coupled with various leadership and volunteer roles, suggests a strong ability to adapt to different environments and collaborate effectively. Their involvement in initiatives like 'Girls Africa Initiative' and 'Global Leadership Summit' indicates a commitment to personal growth and community engagement. The breadth of their skills, from agricultural data analysis to modern business intelligence tools, shows a willingness to learn and pivot, which is a positive indicator for cultural fit in a dynamic data-driven environment. However, the primary focus on agricultural data in past roles might require a transition period to fully align with a purely business-oriented data analyst culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, team collaboration, and attention to detail through their project descriptions and leadership roles. Their experience in research and academic settings suggests a structured approach to problem-solving and data management. The various internships and volunteer roles indicate adaptability and a proactive attitude, which are beneficial for operational fit. However, the lack of completed technical tests makes it difficult to fully assess practical application of these skills under pressure.