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Business intelligence developer skills for your resume and career

15 business intelligence developer skills for your resume and career
1. Power Bi
- Developed highly interactive Dashboard with advanced drill down capability using Power BI Cloud Service.
- Improved Departmental business intelligence by implementing new Self-Service reporting tools, Tableau and Power BI, to a global manufacturing company.
2. Business Intelligence
- Implemented Microsoft Business Intelligence reporting infrastructure for payment processor of prepaid wireless transactions at retail locations and through the web.
- Collaborated with management and team members to verify data attributes supported Business Intelligence requirements associated with State Aid recipients.
3. Analytics
- Participated in architects committee, representing reporting and analytics, for Microsoft Dynamics CRM implementation project.
- Created report requirements and specifications in order to provide proper documentation for their Analytics team.
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.
- Survey Dashboards developed to retrieve previously unattainable data on overall satisfaction, request initiation methods, and request resolved percentages.
- Designed and developed executive dashboards that integrated data from multiple vendors for hospital leadership using Tableau and SQL Server.
5. ETL
- Formulated and documented the physical ETL process design based on business requirements and specifications.
- Improved data warehouse architecture and performance through query tuning and ETL modifications.
6. Visualization
- Recreated select executive dashboard components as proofs of concepts advocating Tableau for enterprise visualization and data discovery.
- Provide training to other developers on BI Visualization and MicroStrategy techniques.
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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.
- Participate in requirements analysis and support the development of Data Warehouse conceptual data models using Oracle and SQL database environments.
- Integrated data warehouse will allow business to inter-relate data for various systems together for better analysis and growth projection.
8. SSRS
- Deployed and configured SSRS reports to Reporting Server using Report Manager and Configured report subscription for report delivery purpose.
- Automated report generation and report delivery to business using standard subscription and data driven subscription in SSRS.
9. Data Analysis
- Interpreted and presented data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results.
- Extracted data from different data sources; aggregated and implemented various calculation measures to create financial data analysis.
10. Data Models
- Formulated data modeling and data delivery solutions for several other past/current projects as per the demand.
- Develop Data management methodologies, data architecture, and data modeling practices, including Star/Snowflake.
11. SSAS
- Designed data mart architecture and created SSAS multidimensional cubes to improve reporting performance.
- Produced SSAS reports that delivered financial and production data to department supervisors.
12. Data Warehousing
- Utilized business analysis methodology to gather business and technical requirements from business stakeholders, project managers, and data warehousing specialists.
- Developed strong knowledge of Data Warehousing concepts, Relational Database Management Systems and Dimensional modeling primarily Star schema.
13. 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.
- Learned Java in 2 months to solve key customer application requirement.
- Worked on java and XSLT in initials days in Project.
14. C #
- Developed ASP.NET Web Forms, Classes, and Business Logic using C # as code behind language.
- Developed ASP.NET Web Forms, Classes, and Business Logic using C # as code behind language.
15. T-SQL
- Developed various T-SQL stored procedures, triggers, views, and adding/changing tables for data extraction, data loads and transformations.
- Implemented T-SQL queries such as Table, Views, Function, Stored Procedures and Triggers for load data and validation purpose.
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Jason Caudill Ph.D.
Professor of Business, King University
What hard/technical skills are most important for business intelligence developers?
Jason Caudill Ph.D.
Professor of Business, King University
What business intelligence developer skills would you recommend for someone trying to advance their career?
Jennifer Coupland
Clinical Professor of Marketing, Pennsylvania State University
List of business intelligence developer skills to add to your resume

The most important skills for a business intelligence developer resume and required skills for a business intelligence developer to have include:
- Power Bi
- Business Intelligence
- Analytics
- Dashboards
- ETL
- Visualization
- Data Warehouse
- SSRS
- Data Analysis
- Data Models
- SSAS
- Data Warehousing
- Java
- C #
- T-SQL
- Azure
- Microsoft SQL Server
- Strong Analytical
- Cognos
- OLAP
- SQL Server Analysis
- Ssis Packages
- PL/SQL
- Technical Specifications
- SDLC
- Business Analysts
- Qlikview
- KPIs
- Extraction
- Data Marts
- Database Objects
- SharePoint
- MDX
- Client Facing
- MicroStrategy
- Business Intelligence Development
- Informatica
- Data Flow
- TFS
- Management Studio
- Tableau Server
- SSMS
- HTML
- Ad-Hoc Reports
- Web Intelligence
- Oracle Sql
- Qlik Sense
- Profiling
- QA
- Windows Server
Updated January 8, 2025