4 Entry-Level Data Analyst Resume Examples for 2024

Starting your journey as a data analyst? This article offers proven resume examples and key advice. Learn how to highlight vital skills, showcase relevant projects, and stand out to hiring managers.

  Compiled and approved by Liz Bowen
  Last updated on See history of changes

  Next update scheduled for

At a Glance

Here's what we see in the best entry-level data analyst resumes.

  • The Best Resumes Show Impact With Numbers: Employers value metrics that show your work. Common ones are: reduced error rates by 10%, improved process efficiency by 15%, cut data processing time by 20%, increased data accuracy by 25%.

  • List Skills From The Job Description: Include skills on your resume that you have and are mentioned on the job description. Some popular ones are SQL, Python, Excel, Tableau, data visualization. But don't include all of them, choose the ones you have and are mentioned in the JD.

  • Keyword Optimization Is Key: Use keywords that match the job description. This helps you pass applicant tracking systems. For example, data analysis or data mining. It makes your resume noticeable.

Example #1

Entry-Level Data Analyst
Resume Sample

Your Name
Entry-Level Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Microsoft July 2021 - Present
Junior Data Scientist
Created machine learning models that predicted customer churn with 85% accuracy, reducing churn by 10%.
Automated data preprocessing tasks using Python, saving 12 hours per week.
Designed and developed data pipelines, improving data availability by 25%.
Conducted data quality assessments, increasing data reliability by 15%.
Collaborated with product teams to incorporate data insights, resulting in a 5% increase in user satisfaction.
Goldman Sachs January 2020 - June 2021
Data Analysis Intern
Developed financial models predicting stock performance with 90% accuracy, enhancing investment strategies.
Automated Excel report generation using VBA, saving 5 hours per week.
Conducted time series analysis, contributing to a 12% increase in forecasting precision.
Coached.com June 2019 - December 2019
Data Analyst Intern
Analyzed survey data to derive insights on customer satisfaction, leading to a 15% improvement in service quality.
Developed custom SQL scripts to extract insights, reducing data retrieval time by 20%.
Created data visualizations with Tableau to support monthly report presentations.
Amazon January 2018 - May 2019
Market Research Analyst Intern
Conducted market analysis using SPSS, contributing to a 10% increase in market share.
Presented findings in PowerPoint, aiding strategic decisions that boosted sales by 8%.
EDUCATION
Resume Worded University May 2021
Master of Science in Data Analytics
Thesis on Predictive Analytics and Big Data Trends
Graduated with Honors, GPA: 3.9/4.0
Resume Worded Institute May 2019
Bachelor of Science in Statistics
Part-time Studies During Amazon Internship
Relevant coursework: Machine Learning, Data Warehousing
SKILLS
Data Analysis: Python (Pandas, NumPy), R, SQL, MATLAB, Stata, SPSS
Data Visualization: Power BI, Tableau, MS Excel (Advanced Functions, PivotTables, VBA), D3.js
Database Management: MySQL, PostgreSQL, MongoDB, Microsoft SQL Server
Programming: Python (Intermediate), R (Intermediate), Java (Basic), HTML (Basic), CSS (Basic)
OTHER
Certifications: Certified Data Professional (CDP - 2022), Microsoft Certified: Azure Data Scientist Associate (2021)
: Attended 'Big Data & Analytics Summit' (2022), 'AI & Machine Learning Conference' (2021)
Volunteering: Data Analysis Volunteer for 'Tech for Good' initiative (2020-2021), Mentor for 'Women in Data Science' community (2019-present)
Projects: Developed a Python-based tool for market sentiment analysis, Project lead for 'Analytics for Social Change' initiative

Place education prominently

If you are starting a career as a data analyst and have recently graduated or are a current student, showcase your education at the beginning of your resume. This helps the hiring manager see your academic qualifications and relevant coursework immediately. It is important, as training in data analysis or a related field is often required for these roles.

Include details such as any quantitative courses, statistics, or computer science classes you have taken that are vital for a data analyst position. If you have participated in any projects or internships related to data analysis, make sure to list these under your education section. This information can show you are ready to apply your knowledge in a practical setting.

Example #2

Entry-Level Data Analyst
Resume Sample

Your Name
Entry-Level Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Facebook March 2022 - Present
Marketing Data Analyst Intern
Analyzed user engagement data to optimize ad spend, resulting in a 25% increase in ROI.
Designed and implemented SQL queries for data retrieval, reducing data processing time by 30%.
Developed dashboards in Tableau to visualize campaign performance, improving team reporting efficiency.
Conducted sentiment analysis on user feedback, contributing to a 15% improvement in customer satisfaction.
Collaborated with marketing teams to perform segmentation analysis, identifying high-value customer segments.
Resume Worded July 2021 - February 2022
Data Analyst Intern
Developed data cleaning protocols, increasing data quality by 20%.
Performed statistical analysis on user data, aiding in the refinement of product features.
Created visualizations with PowerBI to present key metrics, reducing presentation preparation time by 25%.
Salesforce January 2020 - June 2021
Sales Data Analyst Intern
Analyzed sales data to identify trends and opportunities, contributing to a 10% increase in revenue.
Automated report generation using Excel macros, saving 8 hours per month.
Developed SQL queries to track sales performance, reducing data retrieval time by 20%.
Coached.com June 2018 - December 2019
Research Intern
Conducted statistical analysis using R, contributing to academic research published in a peer-reviewed journal.
Collaborated with researchers to design methodologies, enhancing data collection accuracy by 15%.
EDUCATION
Resume Worded Institute February 2022
Master of Science in Data Analytics
Capstone Project: Predictive Analysis of Social Media Trends
Part-time studies alongside Marketing Data Analyst Internship at Facebook
Resume Worded University May 2019
Bachelor of Science in Business Administration with a Concentration in Data Analysis
Achieved Dean's List for Academic Excellence
Relevant Coursework: Statistical Modeling, Database Management
SKILLS
Data Analysis Tools: Excel, Tableau, SQL, Python (Pandas, NumPy), R, PowerBI
Statistical Techniques: Regression Analysis, A/B Testing, Time Series Analysis, Factor Analysis, Cluster Analysis
Data Manipulation: Data Cleaning, Data Visualization, ETL Processes, Web Scraping, Big Query
Languages: English (Native), Spanish (Conversational)
OTHER
Certifications: Google Data Analytics Professional Certificate (2021), Tableau Desktop Specialist (2020)
Projects: Predictive Sales Analytics Model for Salesforce, Increased accuracy by 20%
Volunteering: Data Analyst Volunteer for Non-profit Orgs, providing market analysis and insights
Conferences: Participated in Big Data Conference 2021, Tableau Conference 2020

Highlight your technical skills

For a data analyst role, your technical skills are important. List the tools and software you know, such as Excel, SQL, and Python. Mention any experience you have with data visualization tools like Tableau or Power BI.

Include specific examples of how you used these tools in your coursework or projects. This shows that you are prepared for the job.

Example #3

Senior Data Analyst
Resume Sample

Your Name
Senior Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Microsoft January 2020 - Present
Lead Data Analyst
Led a team of 5 analysts to develop data models, increasing forecast accuracy by 25%.
Initiated the use of big data tools like Hadoop, enhancing data processing capabilities by 40%.
Developed comprehensive reports using SQL and Tableau, improving executive decision-making by 20%.
Implemented automated data pipeline systems, reducing data retrieval time by 50%.
Collaborated with cross-functional teams to integrate data-driven strategies, resulting in a 15% revenue increase.
Amazon July 2017 - December 2019
Senior Data Analyst
Managed data analytics projects, improving project completion rates by 20%.
Developed predictive models using Python, increasing prediction accuracy by 30%.
Standardized data reporting processes, reducing discrepancies by 25%.
Conducted advanced statistical analysis, contributing to a 10% improvement in marketing strategies.
Google January 2015 - June 2017
Data Analyst
Developed SQL queries to analyze large data sets, reducing analysis time by 20%.
Created dashboards with PowerBI to visualize key metrics, improving stakeholder reporting by 15%.
Enhanced data quality through automated cleaning processes, achieving 98% data integrity.
Coached.com June 2013 - December 2014
Junior Data Analyst
Performed data entry and cleaning tasks, maintaining a 95% accuracy rate.
Assisted in statistical analysis projects, contributing to a 10% increase in research accuracy.
EDUCATION
Resume Worded University May 2014
Master of Science - Data Analytics
Coursework included Advanced Predictive Modeling, Machine Learning
Resume Worded Institute March 2016
Certified Analytics Professional (CAP)
Part-time certification aligned with full-time role at Google
SKILLS
Data Analysis: Python (pandas, NumPy), SQL, R, MATLAB, SAS, Tableau
Machine Learning: scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib, H2O
Big Data Technologies: Hadoop, Apache Spark, Kafka, Hive, Impala, Airflow
Database Management: MySQL, PostgreSQL, MongoDB, Microsoft SQL Server, Redshift
OTHER
Certifications: Google Analytics Certified (2021), Six Sigma Green Belt (2019)
: Analytics Without Borders (Volunteer Data Analyst), Mentor for Women in Data Science (2020-Present)
Technical Writing: Published articles on 'Predictive Analytics in Retail' and 'Machine Learning Ethics' in Data Science Journals
Professional Development: Regular attendee of Tableau Conference, PyCon, and ODSC East

Ideal resume length

Keep your resume concise and focused. As an aspiring data analyst, aim for a one-page resume that showcases your most relevant skills and experiences. This brevity makes it easier for hiring managers to quickly understand your qualifications. A one-page format forces you to prioritize your content, which should highlight your analytical proficiency and any experience with database tools or programming languages relevant to data analysis.

Ensure the most compelling information is placed on the first half of the page to grab attention immediately. If you are finding it difficult to fit your details into a single page, refine your content by eliminating less pertinent information, such as older education details or unrelated work experiences. Good use of space is key; use headers and bullet points to structure your resume, making it easy for hiring managers to skim through and identify your strengths in data analysis.

Example #4

Data Analyst
Resume Sample

Your Name
Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Goldman Sachs March 2021 - Present
Data Analyst
Developed financial models predicting market trends with 85% accuracy, aiding investment decisions.
Automated data processing tasks using Python, saving 10 hours per week.
Designed and created dashboards in Tableau, improving reporting efficiency by 25%.
Conducted statistical analysis on financial data, contributing to a 12% increase in forecast accuracy.
Collaborated with team members to enhance data collection processes, reducing errors by 15%.
Google June 2020 - February 2021
Data Analyst Intern
Performed data cleaning and transformation tasks, improving data reliability by 20%.
Created SQL queries to extract data, reducing data retrieval time by 30%.
Visualized data trends in Excel to support business decisions, enhancing strategy formulation.
Amazon January 2019 - May 2020
Marketing Research Intern
Conducted market analysis using R, contributing to a 15% increase in market share.
Analyzed customer feedback data, leading to a 10% improvement in product recommendations.
Presented findings in PowerPoint, facilitating strategic decision-making processes.
Coached.com June 2018 - December 2018
Data Entry Specialist
Entered and validated data accuracy, achieving a 97% data accuracy rate.
Streamlined data entry processes, saving 5 hours per month.
EDUCATION
Resume Worded Institute February 2021
Certified Data Analytic Professional
Coursework focused on advanced statistical methods and machine learning
Resume Worded University May 2020
Master of Science - Data Analytics
Completed as Part-time
Thesis on Predictive Analytics in Finance and Award: Graduate Research Scholar
SKILLS
Data Analysis: Python (Pandas, NumPy), R, MATLAB, SQL, Power BI, Tableau
Machine Learning: Scikit-learn, TensorFlow, PyTorch, Keras, Cross-validation, Feature selection
Database Management: MySQL, PostgreSQL, MongoDB, Hadoop, Cassandra
Data Visualization: D3.js, ggplot2, Matplotlib, Seaborn, Dash
OTHER
Certifications: Google Data Analytics Professional Certificate (2020), Tableau Desktop Certified Associate (2019)
Projects: Developed predictive models for market trends analysis leading to a 15% increase in investment returns
: English (Native), Spanish (Fluent), French (Conversational)
Awards: Goldman Sachs Rising Star Analyst (2022), Amazon Excellence in Marketing Analysis Award (2020)

Show your problem-solving abilities

Analysts solve problems using data. Mention any projects where you used data to make decisions or solve problems. Explain what you did and the results you achieved.

Employers look for candidates who can think critically and solve issues. Highlighting these skills can make your resume stand out.

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Samples

Entry-Level Data Analyst

Resume Sample #1

Entry-Level Data Analyst

Resume Sample #2

Senior Data Analyst

Resume Sample #3

Data Analyst

Resume Sample #4


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