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Data Analyst with 4+ years in SQL, Power BI & Excel
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 minded data analyst candidate with a strong foundation in SQL, Microsoft Excel, Power BI, and Tableau, backed by Google Data analytics Certification and hands-on training at TechCrush Data analytics Bootcamp. Combines a B.Sc. in Information and Communication Science with practical exposure to KPI tracking, dashboard development, and data-driven reporting through academic projects and self-directed learning. Eager to apply data storytelling and visualization skills in a remote, entry-level data analyst role to help organizations make faster, smarter decisions.
The candidate achieved a perfect score (100%) on the 'Application Developer — Microsoft Analytics (Power BI)' test, indicating strong proficiency in Power BI.
Strengths
Limitations
Cultural Fit Analysis
The candidate's resume shows a diverse set of experiences, including volunteer projects and administrative roles, alongside technical training. The 'Interests' section lists 'Data Analytics, Business Intelligence, Sales & Market Trends, Football Analytics', indicating a genuine passion for the field. The ongoing TechCrush Data analytics Bootcamp and completed Google Data analytics Professional Certificate demonstrate a proactive approach to skill development and a commitment to the data analytics domain. The candidate's eagerness to apply data storytelling and visualization skills aligns well with typical data analyst team objectives.
Soft Skills & Operational Fit
The candidate's psychometric test score (308/500) suggests moderate performance in areas like logical reasoning, work attitude, stress handling, and team collaboration. The English test score (63/100) indicates average communication clarity and professional language usage. The resume highlights 'Analytical thinking', 'attention to detail', 'written & verbal communication', 'time management', and 'remote collaboration' as soft skills, which are relevant for a Data Analyst role. However, the psychometric and English test scores suggest these areas may require further development or validation.