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Data analyst skills for your resume and career

A data analyst's most important hard skill set is their knowledge and command of data analysis tools. These tools can include python, SQL, SAS, and more. It's also crucial for data analysts to show skill in using these tools, and other data management tools, to improve processes and procedures.
Some soft skills a data analyst will likely need include comprehension and statistical knowledge. Data analysts need to be able to deal with large amounts of complex data, and to make sense of this data. A great understanding of, and typically a specialized training in, statistics in order to avoid common errors.
15 data analyst skills for your resume and career
1. Data Analysis
- Conducted data analysis and trend interpretation for developing statistical process control methods in support of aviation information and readiness reporting requirements.
- Provided data analysis and portfolio stratification across entire credit risk portfolio in support of capital modeling and credit risk reporting.
2. Python
Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.
- Worked on sentiment analysis in python to analyze the severity of crime/fraudulent activity from the articles.
- Develop Python solutions associated with GIS data collection, management and utilization.
3. Power Bi
- Created multiple data visualization solution for initial Power BI business preview.
- Developed Reporting solutions using Power BI.
4. Data Management
The administrative process that involves collecting and keeping the data safely and cost-effectively is called data management. Data management is a growing field as companies rely on it to store their intangible assets securely to create value. Efficient data management helps a company use the data to make better business decisions.
- Contributed to development of new products and functionality by working in conjunction with editorial, data management and technology groups.
- Performed Data Management duties; acquired validated, processed, stored and protected data for reliable accessibility to data users.
5. Visualization
- Initiated and designed dashboards locally before publishing to Tableau Server for data visualization, statistical trend analysis and KPI evaluation.
- Developed MySQL database implementation, effectively merging over 10 data sources for efficient reporting and Tableau visualization of campaign metrics.
6. Data Quality
- Partner with cross functional teams and business stakeholders to identify issues and implement business process improvement to enhance overall data quality.
- Conducted data quality investigations and made necessary improvements, in response to operational assessments, self-driven investigations, and customer inquiries.
Choose from 10+ customizable data analyst resume templates
Build a professional data analyst resume in minutes. Our AI resume writing assistant will guide you through every step of the process, and you can choose from 10+ resume templates to create your data analyst resume.7. Data Collection
Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.
- Maintained leadership responsibility to ensure data consistency and quality across the end to end process from data collection through metric reporting.
- Devised innovative strategies that streamlined data collection, daily deposits and decreasing daily backlog process to drive team member productivity.
8. SAS
SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.
- Developed SAS program to auto generate PDF school specific reports for educational facilities participating in the vaccination assessment.
- Utilize SAS programming knowledge and statistical analysis methods to produce quarterly reports based on wayside detector data.
9. BI
- Directed and participated in BI solution scoping, requirements analysis, and architectural/database design activities for 3 clients.
- Designed and implemented proof of concept solutions and created advanced BI visualizations using Tableau platform.
10. Analyze Data
Analyze data or data analysis refers to the practice of studying, organizing, and transforming data to make it more useful. It also includes the cleansing of non-useful information which helps in better decision making regarding any particular matter. Analyze data is a practice that is used widely in the field of business, social sciences, and science.
- Collect and analyze data to identify financial representatives based on incomplete/inaccurate information
- Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
11. Customer Service
Customer service is the process of offering assistance to all the current and potential customers -- answering questions, fixing problems, and providing excellent service. The main goal of customer service is to build a strong relationship with the customers so that they keep coming back for more business.
- Provide exceptional customer service to internal and external data product customers by troubleshoot hardware and software issues and identify network/applications issues.
- Partnered with customers that provided Verizon with a low customer service rating to identify center and organizational opportunities.
12. PowerPoint
- Developed PowerPoint presentations and various marketing collateral for Membership Director to present at Chamber budget meetings and Women in Commerce conferences.
- Produce graphical analysis and PowerPoint presentations for director level management and litigation team to be utilized as legal documentation of compliance.
13. Strong Analytical
- Achieved and Maintained strong analytical skills while efficiently utilizing excellent oral and written communication skills.
- Maintain strong analytical and problem solving skills, excellent communication and presentation skills.
14. Statistical Analysis
- Developed data analysis solutions based on predictive, behavioral or other models via statistical analysis and use of relevant modeling techniques.
- Planned strategies and performed statistical analysis for companies in litigation or arbitration to reduce judgment-based error and improve risk assessment.
15. Patients
- Generated informational reports for the organization based on information forwarded by insurance claims related to patients and providers.
- Expanded and maintained Visual Studio Reports providing upcoming appointments of Medicare Advantage patients to Clinical Innovations Department.
5 Data Analyst resume examples
Build a professional data analyst resume in minutes. Browse through our resume examples to identify the best way to word your resume. Then choose from 5+ resume templates to create your data analyst resume.
What skills help Data Analysts find jobs?
Tell us what job you are looking for, we’ll show you what skills employers want.
What skills stand out on data analyst resumes?
Dr. Todd Wittman Ph.D.
Associate Professor, The Citadel
Getting involved in a research project tells a prospective employer that you have done work beyond the classroom. It shows that you can tackle a difficult problem that does not have an answer in the back of the textbook. At most colleges and universities, faculty are eager to work with bright undergraduate students on projects. Students are often intimidated by their faculty, but it does not hurt to ask. It might result in an interesting research experience, internship, or even a lead on a job after graduation.
What data analyst skills would you recommend for someone trying to advance their career?
Pavel Chernyavskiy Ph.D.
Assistant Professor of Statistics, University of Wyoming
What type of skills will young data analysts need?
What soft skills should all data analysts possess?
Professor, History Department, Humboldt State University
What hard/technical skills are most important for data analysts?
Sal Aurigemma Ph.D.
Associate Professor of CIS, J. Bradley Oxley Professor of Computer Information Systems, University of Tulsa
List of data analyst skills to add to your resume

The most important skills for a data analyst resume and required skills for a data analyst to have include:
- Data Analysis
- Python
- Power Bi
- Data Management
- Visualization
- Data Quality
- Data Collection
- SAS
- BI
- Analyze Data
- Customer Service
- PowerPoint
- Strong Analytical
- Statistical Analysis
- Patients
- ETL
- Data Entry
- Data Integrity
- SQL Server
- Data Warehouse
- Access Database
- Data Models
- Pivot Tables
- Java
- Math
- Excellent Interpersonal
- VBA
- Business Processes
- Extraction
- Profiling
- Financial Data
- HR
- R
- SPSS
- PL/SQL
- SharePoint
- Work Ethic
- Excellent Organizational
- Technical Support
- Data Issues
- Management System
- Data Validation
- Salesforce
- Data Elements
- Data Extraction
- Regression
- Data Lake
- Business Rules
Updated January 8, 2025