Business Intelligence (BI) Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Business Intelligence (BI) job postings. In other words, these are the most sought after skills by recruiters and hiring managers. So try to include them on your resume where possible. Go to the Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all these keywords on your resume, identify the keywords most relevant to the job you're applying to and include those. Use the free Targeted Resume tool to help with this.

Choose a category
  • Extract, Transform, Load (ETL)
  • Data Warehousing
  • Data Modeling
  • QlikView
  • SQL
  • Business Intelligence (BI)
  • Qlik Sense
  •  Find out what your resume's missing
  • SQL Server Integration Services (SSIS)
  • Oracle Database
  • Microsoft SQL Server
  • Tableau
  • Microsoft Power BI
  • PL/SQL
  • OLAP
  • Databases
  • Business Intelligence Tools
  • Big Data
  • SAP BusinessObjects
  • Business Intelligence Projects
  • SQL Server Analysis Services (SSAS)
  • Requirements Analysis
  • Data Visualization
  • Informatica
  • Business Analysis
  • Software Development Life Cycle (SDLC)
  • SQL Server Reporting Services (SSRS)
  • Stakeholder Management
  • Analytics
  • Data Analysis
  • Dashboard
  • MicroStrategy
  • Data Mining
  • MySQL
  • Transact-SQL (T-SQL)
  • DAX
  • Agile Methodologies
  • Python (Programming Language)
  • Data Integration
  • R (Programming Language)
  • SAS
  • Machine Learning
  • Predictive Modeling
  • Predictive Analytics
  • Data Analytics
  • Data Science
  • SAS Programming
  • Hadoop
  • Statistical Modeling
  • Data Governance
  • Strategy
  • Business Process Improvement
  • Business Process
  • Business Analytics
  • Cross-functional Team Leadership
  • Forecasting
  • Competitive Analysis
  • Market Analysis
  •   Show full list

Resume Skills: Programming

Resume Skills: Big Data

Resume Skills: Cloud Platforms

Resume Skills: Data Modeling Tools

Resume Skills: Data Analysis Tools

Resume Skills: Data Warehousing

Resume Skills: ETL Tools

Resume Skills: Statistical & ML Tools

  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Compare Your Resume To These Business Intelligence (BI) Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

Sample Business Intelligence (BI) Resume: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Choose a template
Your Name
Business Intelligence (BI) Professional
City, Country  •  (123) 456-789  •  [email protected]  •
Uber January 2022 - Present
Senior Business Intelligence Analyst
Streamlined data quality processes, enhancing data integrity by 50% through strategic implementation of BI tools and techniques.
Lead a team of 10 junior analysts, ensuring their continuous development and improved the team performance by 60%
Developed data analysis protocols that reduced redundancy by 30%, saving an estimated 20 hours per week.
Leveraged BI software and tools to generate data analytics reports, increasing data accessibility and fostering data-driven decision making
Implemented BI solutions that increased revenue by 15% after identifying key market segments.
Salesforce June 2018 - December 2021
Business Intelligence Analyst
Delivered BI reports contributing to a 10% increase in annual sales.
Conducted thorough data analysis, identifying operational bottlenecks and improved process efficiency by 20%
Used BI tools to automate data collection, reducing manual hours by 15%. May 2016 - May 2018
Junior Business Intelligence Analyst
Assisted in the development of data-driven solutions to improve decision-making and realized a profit increase of 10%.
Facilitated seamless data integration, enhancing data reliability and consequently improved usage by 20%
Resume Worded University April 2018
Master of Business Administration - Information Systems
Specialized in Business Intelligence & Data Analysis
Resume Worded Institute May 2016
Bachelor of Science - Computer Science
Minors in Statistics and Big Data Analytics
Awards: Dean's List 2016 (Top 10%)
Data Analysis Tools: Tableau, Power BI, Google Analytics, DataStudio
Programming: Python (Pandas, NumPy), SQL, R, Java
Data Warehousing: Microsoft SQL Server, Oracle, SAP, Snowflake, AWS Redshift
ETL Tools: Informatica, Talend, Panoply, Microsoft Integration Services
Certifications: Certified Business Intelligence Professional (CBIP) - (2022), Salesforce Certified Data Architect (2021)
Projects: Developed an intelligence dashboard which improved business efficiency by 30% for a Non-profit Organization (2020)
Leadership & Volunteering: Served as the Chapter President of Data Analytics Association, Resume Worded University (2018-2020)
Courses: Advanced Big Data Analysis, Coursera; Machine Learning for Business Professionals, Google; Analytics for Decision Making, edX
Your Name
Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
LinkedIn May 2018 - Present
Senior Data Analyst
Managed a team of 12 analysts - trained, motivated, and improved the team's skills leading to a 25% increase in productivity.
Streamlined the data collection process resulting in a decrease in data errors by 40%.
Utilized advanced statistical methods to analyze large data sets, that increased operational efficiency by 30%.
Developed custom data models to drive analytics that led to a 10% increase in sales.
Automated routine data collection jobs freeing up 20 hours of work a week. April 2016 - April 2018
Data Analyst
Performed data validation, which resulted in a decrease of data discrepancies by 30%
Prepared complex statistical reports, aiding in strategic decision-making process.
Used BI tools such as Tableau and Power BI to create interactive dashboards, increased data usability by 15%
Google January 2014 - March 2016
Junior Data Analyst
Assisted in preparing reports which led to the identification and rectification of data errors, decreasing discrepancies by 20%
Applied analytical techniques to interpret data, streamlining the decision-making process.
Resume Worded University May 2016
Master of Science - Data Science & Big Data Analytics
Concentration in Predictive Modeling, Machine Learning
Resume Worded Institute December 2013
Bachelor of Engineering - Computer Science
Minored in Applied Mathematics
Awarded Dean's List 2013
Programming: Python, R, SQL, MATLAB, Java, C#
Data Analysis Tools: Excel, Tableau, PowerBI, SAS
Big Data: Hadoop, Spark, Hive
Statistical & ML Tools: Scikit-learn, TensorFlow, numpy, pandas, SSAS
Certifications: Microsoft Certified: Azure Data Scientist Associate (2021), Certified Data Management Professional (2018)
Courses: Data-Driven Decision Making (PwC – Coursera), Machine Learning (Stanford University – Coursera)
Projects: Developed a predictive model for customer churn rate which reduced the churn rate by 15% – Personal Project
Publications: Co-author of ‘Predictive Modelling in Retail: A Case Study’ in the Journal of Data Science
Your Name
Business Intelligence Developer
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE December 2020 - Present
Senior Business Intelligence Developer
Devised data mining protocols that improved data quality by 30%
Managed a team of five junior developers, oversaw their training which led to a 50% improvement in their productivity.
Redesigned the ETL process which resulted in 70% faster data refresh times.
Engineered a sales forecasting model that predicted sales with an accuracy of 85%.
Designed data warehousing strategies that enhanced storage capacity by 50%.
Oracle October 2017 - November 2020
Business Intelligence Developer
Developed ETL processes that improved the quality of data by 20%
Implemented business analytics tools which enhanced data visibility and improved decision making.
Developed SQL procedures for complex data retrieval leading to a 15% improvement in access times.
LinkedIn June 2015 - September 2017
Junior Business Intelligence Developer
Collaborated in the development of data analysis strategies resulting in 10% better business decisions.
Supported the BI team in the maintenance of SQL database, improving data reliability by 20%
Resume Worded University May 2015
Master of Science in Data Science and Analytics
Thesis on Predictive Analytics and its Applications in Business Intelligence
Resume Worded Academic Center May 2013
Bachelor of Science in Computer Science
Specialized in Data Management and Analysis
Recipient of Excellence in Computer Science Award
Programming & BI tools: SQL, Python, R, Tableau, Power BI, QlikView, SAS
Big Data Technologies: Hadoop, Hive, Spark, Pig, Kafka, NoSQL (MongoDB, Cassandra)
Cloud Platforms: AWS (EC2, S3), Google Cloud, Microsoft Azure
Data Modeling Tools: ER Studio, SQL Developer, DBArtisan, IBM Infosphere
Certifications: Microsoft Certified: Azure Data Engineer Associate, Oracle BI Foundation Suite 11g Certified Implementation Specialist
Projects: Developed a predictive model for customer lifetime value analysis using Python and R, resulting in a 10% increase in marketing ROI
Leadership & Volunteering: Co-organizer for the annual Data Science for Social Good event
Professional Memberships: Active member of the International Institute for Analytics

How do I add skills to a Business Intelligence (BI) resume?

Review the job posting closely.

Go through the Business Intelligence (BI) posting you're applying to, and identify hard skills the company is looking for. For example, skills like QlikView, Data Modeling and SQL are possible skills. These are skills you should try to include on your resume.

Add industry skills like Extract, Transform, Load (ETL) and SQL Server Integration Services (SSIS).

Add other common skills from your industry - such as Qlik Sense, Data Warehousing and Business Intelligence (BI) - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like Oracle Database, Databases and Statistical Modeling - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

Highlight data science skill sets.

Dealing with large data sets, cleaning them and uncovering business insights are important skill sets for a Business Intelligence (BI).

Use the exact job title.

Try to add the exact job title, Business Intelligence (BI), somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Business Intelligence (BI) Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

Resume Example
Entry Level Business Analyst

Resume Example
Technical Business Analyst

Resume Example
Senior Business Analyst

Resume Example
Agile Business Analyst

Resume Example
Human Resources (HR) Business Partner

Resume Example
Entry-Level Business Development Manager

Word Cloud for Business Intelligence (BI) Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Business Intelligence (BI) job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Business Intelligence (BI) Skills and Keywords to Include On Your Resume

Browse Jobs in this Category

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Frequently Asked Questions

What skills should you put on a Business Intelligence (BI) resume?

Here are some of the most popular skills we see on Business Intelligence (BI) resumes:

  • Extract, Transform, Load (ETL)
  • Data Warehousing
  • Data Modeling
  • QlikView
  • SQL
  • Business Intelligence (BI)
  • Qlik Sense
  • SQL Server Integration Services (SSIS)

What are the differences in resume skills between a Head Of Business Intelligence and a Director Business Analytics?

If you are writing a Head Of Business Intelligence resume, try to emphasize skills like Business Intelligence (BI), Data Visualization, Data Modeling, Microsoft Power BI, Data Warehousing, Tableau, Business Analysis and Data Analytics.

Similarly, if you are writing a Director Business Analytics resume, emphasize skills like Business Analytics, Strategy, Predictive Analytics and Cross-functional Team Leadership.

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

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