Free Entry-Level Data Analyst Resume

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