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Business & data analyst skills for your resume and career

Updated January 8, 2025

5 min read

Quoted experts

Van Wood Ph.D.,

Van Wood Ph.D.

Below we've compiled a list of the most critical business & data analyst skills. We ranked the top skills for business & data analysts based on the percentage of resumes they appeared on. For example, 11.0% of business & data analyst resumes contained data analysis as a skill. Continue reading to find out what skills a business & data analyst needs to be successful in the workplace.

15 business & data analyst skills for your resume and career

1. Data Analysis

Here's how business & data analysts use data analysis:

Involved in requirements gathering, source data analysis and identified business rules for data migration and for developing data warehouse/data mart.
Perform data analysis and research to assist the organization in formulating data governance/data management strategies, goals and planning activities.

2. Power Bi

Here's how business & data analysts use power bi:

Reviewed the data model and reporting requirements for Power BI and Business Object with the Data warehouse/ETL and Reporting team.
Created, Maintained & scheduled various reports in Power BI like Tabular Reports, Matrix Reports.

3. Visualization

Here's how business & data analysts use visualization:

Mentored Power users in creating and modifying worksheets and data visualization dashboards.
Utilized SharePoint administrator permissions to update site data, and visualization files.

4. BI

Here's how business & data analysts use bi:

Designed and instituted an overall BI architecture and strategy.
Implemented 7 steps to business problem and Agile methodology to improve reporting process and to make it a successful BI implementation.

5. Data Quality

Here's how business & data analysts use data quality:

Assisted with the formal documentation of an enterprise Data Management Strategy, Data Governance structure and Data Quality Management program.
Developed data quality dashboards reported to leadership, allowing the team to easily identify errors within the Enterprise Information Warehouse.

6. PowerPoint

Here's how business & data analysts use powerpoint:

Prepared PowerPoint presentations utilizing various types of graphs for management presentations.
Developed MS PowerPoint presentations for all Contingency Support activities.

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7. SQL Server

Here's how business & data analysts use sql server:

Used SQL Server Package Configuration technique to make Dynamic configurations.
Utilized querying relational databases (T-SQL) and Microsoft SQL Server Integration Services to pull and integrate data from various sources.

8. Business Process

A business process is a group of tasks that are performed by people working in a business to attain a worthy product and to present it to their customers. A business process can also be defined as performing several steps to achieve a certain goal set by a company. Business processes need to set purposeful goals and the outcome of that goal should be clear.

Here's how business & data analysts use business process:

Gathered Business Requirements, interacted with the stakeholders, developers, Project Manager and facilitated JAD sessions to identify Business Processes.
Document business requirements, Business process analysis, and process documentation, and improvements using high-maturity methods, processes and tools.

9. Strong Analytical

Here's how business & data analysts use strong analytical:

Exercised strong analytical skills in interpreting customer business needs and translating them into applicational and operation requirements.
Handled Performance Tuning and Optimization requirements, with strong analytical and troubleshooting skills for quick issue resolution in large-scale production environments.

10. Business Analysis

Here's how business & data analysts use business analysis:

Conducted business analysis and market research while delivering cost effective, high performance technology solutions to meet challenging market demands.
Performed business analysis and data validation related to external reporting to regulatory, rating agencies, and other parties.

11. Data Warehouse

Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.

Here's how business & data analysts use data warehouse:

Specified business requirements for a new data warehouse allowing business users to retrieve historical data from a new operating system.
Developed new key performance indicator based on methods from Balanced Scorecard and reporting abilities from the data warehouse.

12. ETL

Here's how business & data analysts use etl:

Developed, implemented and managed ETL documentation, conversion algorithms, and conversion subroutines.
Collaborated with developers on data exchange strategies and associated ETL development.

13. Visio

Visio or Microsoft Visio is computer software that allows users to create and draw vector graphics according to their requirements. The program is used to draw flowcharts, org charts, data flow diagrams, process flow diagrams, and modeling diagrams. Visio is also used to draw architectural designs including; building and floor plans, and 3D geographical maps.

Here's how business & data analysts use visio:

Developed UML diagrams like Use Case Diagram, Activity Diagram, Sequence Diagram, and Class Diagram using MS VISIO.
Created VISIO diagrams for data flow to give idea for Business Users and for IT team.

14. Data Models

Here's how business & data analysts use data models:

Interpreted logical and physical data models with data modelers to determine common data definitions and establishing the referential integrity system.
Worked closely with Database Administrators to plan and ensure that implementation of physical databases were derived from data models.

15. 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.

Here's how business & data analysts use sas:

Developed and consolidated common SAS modules and SAS macros for high efficiency and better standardization and reliability.
Develop programs for extensive statistical analysis of data using SAS procedures.

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What skills help Business & Data Analysts find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What soft skills should all business & data analysts possess?

Van Wood Ph.D.

Philip Morris Endowed Chair in International Business, Director - VCU Center for International Business Advancement (CIBA), Professor of International Marketing, Virginia Commonwealth University

The most important key to success in business (global or domestic) lies in building relationships (with consumers, allies, government agents, suppliers, and others) based on trust, mutual respect, and a keen understanding of the motivations behind stakeholders' actions. What do they value, what turns on their after-burners and what cultural realities most influence stakeholders' behavior? Successful international business professionals tend to demonstrate a keen sense of curiosity, creativity, adventure, problem-solving alternatives and are driven to continuously upgrade their education and learning about our changing global business environment.

What skills stand out on business & data analyst resumes?

Van Wood Ph.D.

Philip Morris Endowed Chair in International Business, Director - VCU Center for International Business Advancement (CIBA), Professor of International Marketing, Virginia Commonwealth University

The skills that stand out most can be positioned under two umbrellas - 1) What I call the 30,000-foot skill, namely the ability to understand and articulate the "super-story" of our time, namely "globalization." Students that can fully tell the story of the transition from the old super story - The Cold War, East vs. West, Capitalism versus Communism, to the story involving the rise of big emerging markets, the rapid urbanization there-in, and the enormous global business opportunities arising from this. A visual understanding of globalization conveys to those who are hiring that you're a significant thinker who has both a historical and contemporary perspective that is critical for future growth and prosperity. And - 2) What I call the 30-foot skill, which involves being able to translate that knowledge of globalization into actionable insights, including - a) analysis and selection of promising international markets for any client company, b) strategic alliance formation and international marketing resource expenditure strategies, and c) knowing how to sustain long-term competitiveness and productivity in international markets.

What hard/technical skills are most important for business & data analysts?

Van Wood Ph.D.

Philip Morris Endowed Chair in International Business, Director - VCU Center for International Business Advancement (CIBA), Professor of International Marketing, Virginia Commonwealth University

The ability to measure and compare (quantitatively) those dimensions of an international business environment (i.e., market potential, political and legal considerations, infrastructure realities, economic growth, and cultural nuances) that lead to a relative ranking of promising international markets is a technical skill that is critical to global business success. This requires an intimate knowledge and ability to use world-class databases found in world-class university libraries like VCU's (e.g., data-based such as globalEDGE, Business Source Complete, EIU Country Reports, Passport GMID, BCC Research, Uniworld Online, IBISWorld, etc.). This represents the hard/technical skills needed to complement one's historical and contemporary knowledge of global business realities, in conjunction with the soft skills needed by professionals if they are to truly have a long and successful career.

What business & data analyst skills would you recommend for someone trying to advance their career?

Jennifer Coupland

Clinical Professor of Marketing, Pennsylvania State University

Anticipate what is needed and demonstrate your worth.

What type of skills will young business & data analysts need?

Missy Gutkowski

Assistant Dean, Bucknell University

As remote and flexible work continues to penetrate industries across the country, daily office check-in conversations and hallway chatter are rare. New employees should be prepared to bring to the table analytical skills to gather, review, and synthesize information for further review, clarification, and report outs.

New employees should be prepared to communicate well and often, not only expressing expectations of what they need to complete their work but also to frequently updating supervisors and coworkers. Quickly learning the communication preferences and style of a supervisor and organization will set a new employee up for success in any industry.

Do you want to know more?

List of business & data analyst skills to add to your resume

The most important skills for a business & data analyst resume and required skills for a business & data analyst to have include:

Data Analysis
Power Bi
Visualization
BI
Data Quality
PowerPoint
SQL Server
Business Process
Strong Analytical
Business Analysis
Data Warehouse
ETL
Visio
Data Models
SAS
Test Cases
Extract Data

SharePoint
Excellent Interpersonal
Pivot Tables
User Acceptance
UAT
Data Validation
Java
Excellent Organizational
Business Rules
Data Integrity
Scrum
CRM
QA
Data Elements
Technical Specifications
VBA
Data Warehousing

Extraction
SDLC
Data Marts
Macro
Profiling
User Stories
Jira
SME
SSRS
Cognos
Business Analysts
Gap Analysis
Source Systems
Informatica
Application Development
Functional Specifications

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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