Introduction
If you want to garner the attention of hiring managers and recruiters everywhere, you will need to write a resume that stands out from the crowd. By looking at the following data analyst resume template for Word, you can get an idea of what a well-written resume should look like. It will also show you what words to use and what type of information to include. When writing your resume, you will need to include sections such as education, job history, summary statement, and skills to hold the interest of a hiring manager.
Data Analyst Resume Template for Word
Brandon Mitchell
123 Fake Street | City, State, Zip Code
E: email@email.com T: 000-000-0000
Summary Statement
Highly motivated and analytical data analyst with a strong understanding of most research methodologies and database types. Exceptional written and verbal communication skills. Capable of using various business intelligence and analytics to achieve company goals.
Skills
• Ability to analyze large amounts of financial data
• Knowledge of C++ and Python
• Strong interpersonal skills
• Understanding of most development environment software
• Highly organized
• Statistical computing methods
• Time-management skills
Work History
Data Analyst, Company Name
City, State
September 2015 – Present
• Help company reduce waste of materials and energy by predicting the amount of raw materials needed.
• Calculate large amounts of data using statistical analysis techniques and company software.
• Assist company logistical department by providing data analytics support when needed.
• Increased location output by 16 percent after analyzing information from various focus groups and reports last quarter.
• Identify key data metrics after interpreting and extracting raw data provided by company headquarters.
• Reduced company waste by 3 percent after accurately forecasting sales in the New England region.
Data Analyst, Company Name
City, State
May 2012 – April 2015
• Forecasted monthly revenue accurately using statistical models, current data, and various software programs.
• Increased company revenue by 6 percent after directing feasibility studies within marketing department.
• Ensured that sensitive data remained confidential by interpreting and storing it in electronic database.
• Gave company directors a quarterly overview of company sales and profits using data reports.
• Analyzed any provided business data and presented important findings to senior managers and executives.
Data Analyst, Company Name
City, State
February 2008 – April 2012
• Found solutions to problems with production and workflow using statistical models and calculations.
• Educated chemists and other scientists about the logistical aspects of the business using graphs and reports.
• Created a database that allowed company managers to store important employee information and schedule work shifts with greater ease.
• Helped company adopt more environmentally friendly policies by analyzing pollution data and suggesting relevant solutions.
• Gained a competitive view of other companies by analyzing their sales data and comparing it to current company sales data.
Education
Bachelor of Science in Mathematics – 2007
University of California, City, State
123 Fake Street | City, State, Zip Code
E: email@email.com T: 000-000-0000
Summary Statement
Highly motivated and analytical data analyst with a strong understanding of most research methodologies and database types. Exceptional written and verbal communication skills. Capable of using various business intelligence and analytics to achieve company goals.
Skills
• Ability to analyze large amounts of financial data
• Knowledge of C++ and Python
• Strong interpersonal skills
• Understanding of most development environment software
• Highly organized
• Statistical computing methods
• Time-management skills
Work History
Data Analyst, Company Name
City, State
September 2015 – Present
• Help company reduce waste of materials and energy by predicting the amount of raw materials needed.
• Calculate large amounts of data using statistical analysis techniques and company software.
• Assist company logistical department by providing data analytics support when needed.
• Increased location output by 16 percent after analyzing information from various focus groups and reports last quarter.
• Identify key data metrics after interpreting and extracting raw data provided by company headquarters.
• Reduced company waste by 3 percent after accurately forecasting sales in the New England region.
Data Analyst, Company Name
City, State
May 2012 – April 2015
• Forecasted monthly revenue accurately using statistical models, current data, and various software programs.
• Increased company revenue by 6 percent after directing feasibility studies within marketing department.
• Ensured that sensitive data remained confidential by interpreting and storing it in electronic database.
• Gave company directors a quarterly overview of company sales and profits using data reports.
• Analyzed any provided business data and presented important findings to senior managers and executives.
Data Analyst, Company Name
City, State
February 2008 – April 2012
• Found solutions to problems with production and workflow using statistical models and calculations.
• Educated chemists and other scientists about the logistical aspects of the business using graphs and reports.
• Created a database that allowed company managers to store important employee information and schedule work shifts with greater ease.
• Helped company adopt more environmentally friendly policies by analyzing pollution data and suggesting relevant solutions.
• Gained a competitive view of other companies by analyzing their sales data and comparing it to current company sales data.
Education
Bachelor of Science in Mathematics – 2007
University of California, City, State
