Free Entry-Level Data Analyst Resume Template
Entry-Level Data Analyst Resume
Address: [Your Address]
Phone: [Your Number]
LinkedIn: https://www.linkedin.com/in/your_own_profile
Objective
Detail-oriented and highly motivated recent graduate with a strong data analysis, statistics, and visualization foundation. Seeking an entry-level Data Analyst position to leverage skills in data interpretation, problem-solving, and communication to deliver actionable insights and drive business decisions.
Education
Bachelor of Science in Data Analytics
Tech University, Miami, FL 33101
Graduated: May 2050
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Relevant Coursework: Data Visualization, Statistical Analysis, Machine Learning, Database Management, Python Programming, Business Analytics.
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GPA: 3.8/4.0
Skills
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Programming Languages: Python, SQL, R
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Data Analysis Tools: Excel (Pivot Tables, VLOOKUP), Tableau, Power BI
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Database Management: MySQL, PostgreSQL
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Statistical Analysis: Hypothesis Testing, Regression, Probability
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Soft Skills: Critical Thinking, Communication, Problem Solving, Collaboration
Projects
Retail Sales Analysis (2050)
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Utilized Python and SQL to clean and analyze a dataset containing sales data for a retail company.
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Created visualizations using Tableau to identify trends in sales and customer behavior.
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Recommendations led to a 10% increase in promotional targeting efficiency.
Customer Churn Prediction (2050)
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Built a predictive model in R to identify factors contributing to customer churn for a telecommunications company.
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Applied logistic regression and decision tree techniques to increase model accuracy.
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Delivered insights through Power BI dashboards for stakeholder presentations.
Covid-50 Data Dashboard (2050)
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Extracted and transformed Covid-50 data using Python.
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Designed an interactive Tableau dashboard to track case trends globally.
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Shared with 200+ users through LinkedIn and GitHub.
Experience
Data Intern
FutureTech Solutions, Miami, FL 33101
June 2050 – August 2050
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Assisted in analyzing marketing campaign performance using SQL and Excel.
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Created data visualization dashboards in Power BI to track key performance indicators (KPIs).
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Identified data discrepancies, improving report accuracy by 15%.
Research Assistant
Tech University, Miami, FL 33101
January 2050 – May 2050
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Conducted statistical analyses using R for a study on consumer behavior trends.
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Managed a dataset of 10,000+ entries, ensuring data accuracy and integrity.
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Presented findings in a clear, actionable format to faculty advisors.
Certifications
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Google Data Analytics Professional Certificate (2050)
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Tableau Desktop Specialist (2050)
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Microsoft Certified: Power BI Data Analyst Associate (2050)
Extracurricular Activities
Data Science Club Member
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Collaborated with peers on Kaggle competitions to solve real-world data problems.
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Hosted workshops on Python for data analysis.
References
Available upon request.