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Data Analyst with 5+ years in Data Management & Financial Analysis
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 analytical professional with experience in data entry, financial record management, and customer transactions. Skilled in Excel, data cleaning, financial tracking, and record management with a strong ability to maintain accuracy and organize large datasets. Seeking an entry-level Data Analyst, Data Entry, or Financial Analyst role where I can apply my analytical and data management skills to support business decision-making.
TS Academy
Data Analytics Program · Data Analytics
August 1, 2026 – Present
National Open University Of Nigeria
Bachelor’s Degree
August 1, 2020 – June 30, 2020
Goodness Cafe
Accountant
January 1, 2022 – December 31, 2025
India
Biosec Solutions
Data Entry and Registration Clerk
January 1, 2021 – December 31, 2022
India
Hungerbreak Restaurant
Cashier
January 1, 2020 – December 31, 2021
India
Sales Data Analysis Project
June 1, 2026 – Present
Cleaned and analysed a dataset using Microsoft Excel. Pivot table analysis Dashboard Creation using Excel
Logistics Operation Database Analysis
June 1, 2026 – Present
Cleaning dataset Removed duplicate and blanks DAX calculations Data Visualization and Dashboard creation using Power BI
Excel Basics for Data Analysis
Unknown
June 1, 2026 – Present
Business Analysis with Excel
Unknown
June 1, 2026 – Present
Data Analytics
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity is limited to two personal projects, both focusing on data cleaning, analysis, and visualization using Excel and Power BI. Their work experience is primarily in accounting, data entry, and cashier roles, which are not directly senior-level data analyst positions but provide foundational skills in data handling. The target role of 'Data Analyst' aligns with their stated career goal and recent certifications/education. However, the breadth of technical skills beyond Excel and Power BI is limited (e.g., basic SQL mentioned but not demonstrated). The candidate appears to be transitioning into data analytics, indicating a potential fit for a growth-oriented environment, but may require significant upskilling for a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, problem-solving, accuracy, efficiency, time management, and communication skills, which are beneficial for data-centric roles. Their experience in managing financial transactions and large datasets suggests an ability to handle operational tasks with precision. However, the current experience is more aligned with data entry and basic analysis rather than advanced data analysis or strategic decision-making.