Entry-Level Data Analyst Resume Template
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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

  • 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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