Automatically apply for jobs with Zippia

Upload your resume to get started.

Business intelligence lead skills for your resume and career

Updated January 8, 2025

4 min read

Quoted experts

Jenny Scott,

Jenny Scott

Below we've compiled a list of the most critical business intelligence lead skills. We ranked the top skills for business intelligence leads based on the percentage of resumes they appeared on. For example, 15.4% of business intelligence lead resumes contained power bi as a skill. Continue reading to find out what skills a business intelligence lead needs to be successful in the workplace.

15 business intelligence lead skills for your resume and career

1. Power Bi

Here's how business intelligence leads use power bi:

Developed Power BI reports using query logic based on business rules, and visuals selected by stakeholders.
Developed custom calculated measures using DAX in Power BI to satisfy business needs.

2. Analytics

Here's how business intelligence leads use analytics:

Investigated the data mining language R, resulting in broader applicability within the analytics project architecture and strategy.
Worked with management to determine critical analytics and reporting requirements as well as identify gaps in existing solutions.

3. Project Management

Here's how business intelligence leads use project management:

Participated on Business Analysis and Project Management Functional Excellence groups.
Coordinated offshore/onshore teams and implemented agile project management practices.

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 leads use dashboards:

Documented the reporting requirements by thorough interactive sessions with Project Manager by building prototypes for developing the interactive executive level dashboards.
Designed, implemented and administered Business Intelligence data mart providing the data platform for multiple dashboards.

5. Visualization

Here's how business intelligence leads use visualization:

Re-designed Sales & Marketing application on QlikView for better insight, visualization and performance.
Developed BI solutions for business applications including data cleansing, visualization and data analysis.

6. Client Facing

Here's how business intelligence leads use client facing:

Acted as project managers on more than five active client facing projects that created revenue growth for the company.
Design, development, and management of client facing TOD (Training On Demand) website.

Choose from 10+ customizable business intelligence lead resume templates

Build a professional business intelligence lead 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 business intelligence lead resume.

7. Data Analysis

Here's how business intelligence leads use data analysis:

Performed data analysis and reverse engineering of data.
Designed, programmed, and carried out deployment of standard data analysis techniques, software, and reporting platforms.

8. Leveraged

Here's how business intelligence leads use leveraged:

Developed a series of ongoing trend and analysis reports leveraged to renegotiate retainers with 3 clients.
Leveraged emerging technology and best practices to accelerate business growth.

9. ETL

Here's how business intelligence leads use etl:

Designed and developed the technical/functional specification for ETL development and implement using SSIS.
Performed ETL tool evaluation and recommendations, including RFP and designing proof-of-concept criteria.

10. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how business intelligence leads use java:

Coordinated .Net, ASP.Net, Java development activities for development projects.
Worked on Java Script for complex validation, navigation, communication and format customization.

11. Architecture

Here's how business intelligence leads use architecture:

Implemented reporting services architecture utilizing SQL Server background to employ business intelligence techniques throughout the logistics organization.
Ensured solution architecture consistency across various business lines by hosting technology briefing and training for application teams.

12. 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 leads use data warehouse:

Position also included conferring with non-IT representatives throughout the organization as to the capabilities and solutions provided by the data warehouse.
Represented the Data Warehouse development team in release planning and coordination process, provided status updates to management.

13. 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 intelligence leads use sas:

Construct extract files using SAS Enterprise Guide.
Provided data and reporting solutions by utilizing tools such as QlikView, Cognos, SAS and Business Objects.

14. Ssis

SSIC stands for Singapore Standard Industrial Classification. It is a national standard for classifying economic activities such as population censuses, household and business surveys, financial databases etc.

Here's how business intelligence leads use ssis:

Implemented multiple transformations provided by SSIS like Data Conversion, Conditional Split, Bulk Insert, merge and union all.
Project involved maintaining a SSAS cube, building SSIS packages and maintaining AMO application used for cube administration.

15. SAP Business Intelligence

Here's how business intelligence leads use sap business intelligence:

Lead Project of SAP Business Intelligence Implementation for FIGL-Financial statements, Controlling-Profitability Analysis, FM-Funds Management, and Material Management.
Lead 50+ member global project team to replace a 500 User legacy Business Objects data warehouse with SAP Business Intelligence.

5 Business Intelligence Lead resume examples

Build a professional business intelligence lead 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 business intelligence lead resume.

Create my resume

Build a professional resume in minutes using this template.

What skills help Business Intelligence Leads 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 lead resumes?

Jenny Scott

Associate Professor of Business, Lewis-Clark State College

-Relevant industry experience (for SR Business Consultant: 10 years)
-Project management
-Strategic Planning
-Team and Executive Leadership

What soft skills should all business intelligence leads possess?

Jenny Scott

Associate Professor of Business, Lewis-Clark State College

Emotional Intelligence is #1. The saying goes, "IQ gets you hired; EQ gets you promoted." Those that have a high level of emotional intelligence are able to first manage their own emotions and then the ability to manage the emotions of those they lead/supervise. It involves a combination of the practice of the four components of Emotional Intelligence: Self-awareness, Self-Management, Social Awareness, and Relationship Management. With workplace emotions running rampant in today's world, having a leader that can help manage those effectively will create and cultivate a calming and viable work environment.

Culture "fit" is also more important than some may think. While some may meet all qualifications of the job and can effectively do the job itself, how a person "fits" with the company culture is more important. Consider the company's core values, mission, and vision and whether that aligns with your own.
Critical thinking should never be underestimated. Depending on the amount of time allowed to make a decision or think through a strategy, apply critical thinking skills to consider all options and potential consequences. Consider varying perspectives and what route and outcome will aid in attaining the organization's goals and carrying out its mission.
Listening to the needs and desires of the organization or the project. Valuing some dissension and not total conformity leads to a highly cohesive team/organization.

What hard/technical skills are most important for business intelligence leads?

Jenny Scott

Associate Professor of Business, Lewis-Clark State College

Consulting requires knowing the job itself, so industry experience is paramount.
Both "big picture/systems" thinking, as well as the ability to identify and understand details (analytical skills), is key skill in business consulting.
Don't forget the value of written communication skills. With fewer in-person meetings, being able to professionally, succinctly, and effectively write is one of the most coveted and essential skills.
Presentation skills are still - if not more - important today. Being familiar with a variety of presentation tools and platforms can be helpful; however, finding one or a few where you can be highly proficient will help achieve both efficiencies of communications, message delivery, and desired outcome.

What business intelligence lead skills would you recommend for someone trying to advance their career?

Laura Boman Ph.D.

Assistant Professor of Marketing, Kennesaw State University

In the next 3-5 years, the field will see a heightened emphasis on digital fluency, adaptability, and remote collaboration skills, driven by rapid technological advancements and the prevalence of remote work. Proficiency in data analytics, cybersecurity, and emerging technologies like artificial intelligence and blockchain will be critical for navigating the digital landscape effectively. Skills in critical thinking, emotional intelligence, and cultural competence will remain essential for problem-solving and successful collaboration across diverse contexts. Sustainability and CSR expertise, coupled with data literacy, will play key roles in ethical decision-making and leveraging data insights. Embracing a continuous learning mindset will be imperative for professionals to stay ahead of evolving demands and contribute meaningfully to the future of the field.

Do you want to know more?

List of business intelligence lead skills to add to your resume

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

Power Bi
Analytics
Project Management
Dashboards
Visualization
Client Facing
Data Analysis
Leveraged
ETL
Java
Architecture
Data Warehouse
SAS
Ssis
SAP Business Intelligence
Data Models

Data Warehousing
Business Stakeholders
Hadoop
Qlikview
Microsoft SQL Server
SSRS
Data Quality
Azure
Cognos
QA
Business Analysts
MicroStrategy
Emerging Technologies
Windows
CRM
Qlik Sense

Data Lake
SSAS
Business Analysis
Extraction
Technical Specifications
Web Intelligence
Database Objects
XML
R
Oracle Sql
SharePoint
Cloud Computing
Teradata
Salesforce

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

Browse computer and mathematical jobs