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Senior Data Analysis with 8+ years in Customer Service, Data Analytics & IT Support
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Customer service Professional with over 7 years of experience across Customer Service, Data Analytics and visual design Experienced in managing IT infrastructure, providing technical support, and ensuring reliable digital operations in fast-paced environments.
Kogi State University
B.Sc. · Mass Communication
N/A – June 30, 2014
ICRM
Professional PGD · Customer Relationship Management
N/A – June 30, 2015
Aftech Innovations Ltd
IT & Data Analyst
June 1, 2025 – Present
India
Eco Clouds
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24Mobile Mech Ltd
Assistant Manager, Customer Service
February 1, 2025 – March 1, 2025
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Red Couch
Customer Service Representative (Remote)
July 1, 2024 – December 1, 2024
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Jumia
Customer Service Officer
August 1, 2023 – July 1, 2024
Lagos, Nigeria
Sanctus Lumen Christi Schools
Customer Service/Administrative
August 1, 2017 – July 1, 2023
Abuja, Federal Capital Territory, Nigeria
Cultural Fit Analysis
The candidate's diverse experience across customer service, data annotation, and IT/data analysis roles, coupled with a stated interest in 'Tech innovation', 'Problem-solving', and 'Continuous learning', suggests a good cultural fit for a dynamic and growth-oriented environment. Their experience in training and supporting team members, along with awards for teamwork excellence, indicates a collaborative mindset. However, the lack of specific project details beyond job descriptions makes it challenging to fully assess their initiative and independent contribution to complex data analysis challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as analytical thinking, problem-solving, collaboration, and adaptability, as highlighted in their resume and experience descriptions. Their experience in supervising data annotation projects and managing customer service teams suggests good leadership and operational management capabilities. The ability to implement IT-based systems for efficiency also points to a proactive approach to operational improvements.