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Data Analyst with less than a year 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
Analytical and detail-oriented Data Analyst with 1+ year of experience collecting, interpreting, and visualizing data to support smarter business decisions. Skilled in Excel, SQL, Power BI, and Python, with a strong track record of identifying trends, building dashboards, and translating complex datasets into clear, actionable recommendations. Combines a Commerce (Accounting) background with technical analytics expertise to deliver insights that improve business performance and data quality across systems.
DataCamp
Data Science & Data Analysis · Data Science & Data Analysis
August 1, 2024 – June 30, 2026
University of Embu
Bachelor of Commerce – Accounting (Upper Division) · Accounting
August 1, 2021 – June 30, 2025
Future Interns
Data Scientist & Data Analyst
May 1, 2026 – Present
India
Mutea & Associates
Accounting Intern
May 1, 2024 – January 1, 2025
India
Cultural Fit Analysis
The candidate's background in both Accounting and Data Science/Analysis suggests a strong foundation in data integrity and business context, which is valuable for a Data Analyst role. Their internship experience, particularly the current Data Scientist & Data Analyst role, aligns well with the target role. The ongoing DataCamp education indicates a proactive approach to skill development and a commitment to the field. The blend of financial and data analysis skills could be a strong asset in organizations requiring business-savvy data professionals.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills (identifying discrepancies, resolving issues), and a detail-oriented approach, particularly in data accuracy and financial reconciliation. Their experience in collaborating across teams suggests good teamwork and communication skills. The ability to translate business questions into data insights indicates a practical, results-oriented mindset.