Free Entry-Level Data Analyst Resume

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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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