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Senior Analyst with 3+ years in Data Annotation & Quality Assurance
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detailed-oriented and analytical Data Analyst with hands-on experience in data annotation, data quality assurance, research reporting, and performance evaluation. Proficient in Microsoft Excel, SQL, and Power BI, with the ability to collect, clean, analyze, and visualize data to support business decision-making. Experienced in working with large datasets, identifying trends, ensuring data accuracy, and generating actionable insights. Strong problem-solving, communication, collaboration skills with a commitment to continuous learning and delivering data-driven solution.
Federal University of Agriculture, Makurdi, Benue State
B.Sc. · Food Science and Technology
August 1, 2010 – June 30, 2014
Markos Construction Company
Site Supervisor
January 1, 2025 – December 31, 2025
Abuja, Federal Capital Territory, Nigeria
Telus International
AI Data Trainer
January 1, 2023 – December 31, 2025
India
West African Examination Council
Ad-hoc Staff
January 1, 2021 – December 31, 2024
Makurdi, Nigeria
Nigerian Breweries, PLC.
Quality Control Officer
January 1, 2016 – December 31, 2017
Makurdi, Nigeria
Customer Data Analysis Project
June 21, 2026 – Present
Analyzed customer datasets to identify, trends, patterns, and business opportunities. Presented findings through visual reports and dashboards.
Data Cleaning and Analysis project
June 21, 2026 – Present
Cleaned and transformed raw datasets using Excel functions tools Conducted exploratory data analysis and generated actionable insights.
Certificate of Participation: Data Analysis Elementary Level
Ideal novate
May 1, 2025 – Present
Disaster Management
La plague Meta Verse
April 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity is limited, focusing primarily on data analysis. While the 'AI Data Trainer' role shows some exposure to AI/ML data pipelines, the overall experience leans towards data quality and basic analysis rather than advanced analytical or strategic roles. The educational background in Food Science and Technology, while demonstrating analytical capabilities, is not directly aligned with a typical Senior Analyst career path. The breadth of technical skills is also somewhat narrow, primarily revolving around Excel, SQL, and Power BI. This suggests a need for further development in more advanced analytical tools and methodologies to fully align with a senior analyst position in a diverse technical environment.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills including data analysis, collaboration, problem-solving, documentation, quality control, and communication. These skills are valuable for operational efficiency and team integration. The experience as an AI Data Trainer and Quality Control Officer suggests an attention to detail and a methodical approach to tasks, which are beneficial for a Senior Analyst role.