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Data Analyst with 2+ years in Data Analysis & 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 Data Analyst with strong skills in collecting, cleaning, and analyzing data to support data-driven decision-making. Proficient in SQL, Excel, and data visualization tools, with experience translating complex datasets into clear insights and actionable reports. Adept at identifying trends, improving processes, and collaborating with cross-functional teams to solve business problems and drive performance improvements.
University of Ilorin
Bsc. Library and Information Science · Library and Information Science
N/A – June 30, 2024
AG Leventis
Internal Auditor (Junior)
January 1, 2025 – Present
Apapa, Lagos State, Nigeria
University Of Ilorin Library
IT Specialist
June 1, 2023 – November 1, 2023
Ilorin West, Kwara State, Nigeria
Data Analysis
ALX
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's background in Library and Information Science, coupled with an IT Specialist role in a library, suggests an aptitude for structured information management and problem-solving. The transition to Data Analysis, supported by a certification, indicates adaptability and a proactive approach to career development. The internal audit experience demonstrates a focus on integrity and process improvement, which aligns with a culture valuing data accuracy and continuous improvement. However, the lack of diverse project experience outside of audit and library settings might require some adjustment to a purely business-focused data analysis environment.
Soft Skills & Operational Fit
The candidate's resume highlights a detail-oriented approach, collaboration with cross-functional teams, and the ability to identify trends and improve processes. These indicate a good operational fit for roles requiring analytical rigor and teamwork. The internal audit experience suggests a strong focus on compliance and attention to detail, which are critical for data accuracy and governance.