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Business intelligence analyst skills for your resume and career

Updated January 8, 2025

5 min read

Quoted experts

Jim McClenahan,

Van Wood Ph.D.

Business intelligence analyst example skills

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

15 business intelligence analyst skills for your resume and career

1. Business Intelligence

Here's how business intelligence analysts use business intelligence:

Conduct analysis of business processes and gather requirements for business intelligence needs using data in different formats and from various platforms.
Presented the capabilities and scope of business intelligence in financial reporting to wide audiences ranging from senior management to restaurant managers.

2. Analytics

Here's how business intelligence analysts use analytics:

Developed custom data warehouse utilizing Red Hat Linux Enterprise and MySQL to provide high-quality data analytics at a significantly lower cost.
Gathered business requirements and delivered business analytics based solutions using structured/unstructured business data to help achieve measurable business outcomes for clients.

3. Power Bi

Here's how business intelligence analysts use power bi:

Prepare detailed statistical reports in Power BI to track progress of weekly, monthly and quarterly customers and sales growth.
Experienced in setup and utilization of Power BI's Services, Desktop, Mobile Apps, and Developer modules.

4. Dashboards

The dashboard is a data management tool used for business intelligence. Dashboards, store, organize and display the scattered data in one system providing easy access to information whenever required. The data is displayed using advanced data visualization techniques, allowing users to understand the intricate patterns in their data. Dashboards make it easier to draw parallels between different data metrics and help in the identification of data trends.

Here's how business intelligence analysts use dashboards:

Developed multiple Views and combined them into Dashboards for interactivity by providing Quick Filter and Parameters for further data drilling capability.
Designed and developed dashboards using Business Objects Dashboard to display operational summary information in a rich and intuitive format.

5. Visualization

Here's how business intelligence analysts use visualization:

Designed student survey databases using SQL management studio and built student survey visualization using Tableau software.
Assembled student enrollment data of all semesters and imported data into tableau visualization workbook.

6. Data Analysis

Here's how business intelligence analysts use data analysis:

Identify business intelligence, reporting and data analysis needs and provide how data is turned into information which supports business processes.
Conduct data analysis for operations reports detailing workload, measuring efficiency, identifying trends, and recommending areas of improvement.

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7. 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.

Here's how business intelligence analysts use analyze data:

Analyze data generated from multiple lines of business for company executives to make good business decisions with every product deployment.
Utilized data mining expertise to analyze data and develop business cases to support future initiatives.

8. 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 intelligence analysts use data warehouse:

Defined business requirements to allocate order-level discounts to individual line items, enabling accurate SKU performance review using a Data Warehouse.
Provide development and technical leadership for Business Intelligence solutions as part of a highly collaborative Enterprise Data Warehouse development team.

9. ETL

Here's how business intelligence analysts use etl:

Developed SAP Business Objects Specifications document comprising configuration, report specifications, and data dictionary and the ETL Outbound Interfaces document.
Examined and refined the ETL logic to accommodate multiple specific educational scenarios and clarified data submission requirements in user manuals.

10. Data Quality

Here's how business intelligence analysts use data quality:

Identified and analyzed data discrepancies and data quality issues, and ensured data consistency and integrity.
Scheduled monthly and quarterly ongoing data quality assessments to ensure reliability of reporting through Business Objects.

11. Strong Analytical

Here's how business intelligence analysts use strong analytical:

Leveraged strong analytical skills to evaluate relationships between customers and their usage/financing habits to identify and record trends or correlations.
Applied strong analytical and product management skills to interpret customer business needs and translate them into application and operational requirements.

12. Data Models

Here's how business intelligence analysts use data models:

Conducted EpicCare ambulatory clinical data model training remotely and in person to both new and existing clinics.
Designed the Data Model for Security using External table Authentication.

13. HR

HR stands for human resources and is used to describe the set of people who work for a company or an organization. HR responsibilities revolve around updating employee records and carrying out management processes like planning, recruitment, evaluation, and selection processes. HR is a key contributor to any company or organization's growth as they are in charge of hiring the right employees, processing payrolls, conducting disciplinary actions, etc.

Here's how business intelligence analysts use hr:

Led the reporting track for four major VBIS releases: HR, customer master, customer care and contracts.
Developed multiple databases, universes and reports for Finance, Sales, Supply Chain and HR applications.

14. Data Warehousing

Here's how business intelligence analysts use data warehousing:

Reconciled results in data visualizations to accepted sources, extracting information from data warehousing systems using SQL to obtain existing results.
Collaborated with architecture and data warehousing teams to translate business requirements into existing data model.

15. SSRS

Here's how business intelligence analysts use ssrs:

Spearheaded effort to ensure vast library of important internal SSRS reports were transitioned correctly during a crucial database restructuring.
Reinvented the client reporting process by successfully migrating an outdated, highly manual process to an automated reporting solution using SSRS.

5 Business Intelligence Analyst resume examples

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What skills help Business Intelligence Analysts find jobs?

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

What skills stand out on business intelligence analyst resumes?

Jim McClenahan

Director of Career and Corporate Outreach, University of Nevada, Reno

Most importantly, skills that are customized for the job you are applying. Someone could work in a restaurant and have great customer management skills that would work well in a bank. The key is identifying "transferrable skills"-how what you did is relevant for the job you are applying. The applicant has to articulate that-don't expect the committee, screener, or HR Recruiter to make the connections. For business majors, the skills that differentiate applicants are technical skills when they are relevant to the job. Data analysis, coding, SQL are often looked for by employers that have a tech focus as preferred skills.

What soft skills should all business intelligence 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 hard/technical skills are most important for business intelligence 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 intelligence analyst skills would you recommend for someone trying to advance their career?

David Preece

Academic Director, Associate Professor, Brigham Young University-Hawaii

Any time a graduate intentionally takes time off before beginning work, they should focus on activities and experiences that contribute to personal growth and professional development. This could take the form of volunteer service for a charity or community, working as an intern to gain first-hand professional experience, expand career networks, or even travel to new and different destinations that allow for learning about unique places and cultures.

What type of skills will young business intelligence 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 intelligence analyst skills to add to your resume

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

Business Intelligence
Analytics
Power Bi
Dashboards
Visualization
Data Analysis
Analyze Data
Data Warehouse
ETL
Data Quality
Strong Analytical
Data Models
HR
Data Warehousing
SSRS
KPIs
SAS

Ssis
Data Integrity
Business Processes
Qlikview
Statistical Analysis
Report Development
Salesforce
CRM
Provide Management
Shared Services
Microsoft SQL Server
Strong Problem-Solving
Cognos
Excellent Interpersonal
VBA
SharePoint
SSAS

Client Facing
Java
Pivot Tables
Extraction
MicroStrategy
Develop Insights
Azure
Technical Support
T-SQL
Financial Data
PL/SQL
Data Source
Extract Data
Data Validation
User Acceptance
Ad-Hoc Reports

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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