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Senior business intelligence analyst skills for your resume and career
15 senior business intelligence analyst skills for your resume and career
1. Power Bi
- Created & maintained custom automated dashboard using Tableau (Server) & Power BI and reduced time to report high-level data.
- Developed highly interactive Dashboard with advanced drill down capability using Power BI Cloud Service.
2. Tableau
- Developed visually compelling and actionable interactive reports and dashboards in Tableau Desktop and published them on Tableau Server.
- Leveraged expertise to deliver reporting solutions across process areas using Tableau.
3. Analytics
- Analyzed target customer deals using quantitative and qualitative analysis, with Consumer Analytics, for identifying trends and uncover business opportunities.
- Managed and facilitated significant analytic initiatives in support of System Strategic, operational quality projects within the Population Health Analytics space.
4. Business Intelligence
- Led business intelligence team for delivering financial and operational reports to empower business users to make informed decision for business growth.
- Developed, implemented and monitoring business intelligence information standards and guidelines, including testing paradigms systems comply with standards and policies.
5. 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.
- Manage Reporting Services server, supporting of existing reports and dashboards as well as requirements gathering for developing additional metrics.
- Established and maintained relationships with global marketing managers to facilitate production of comprehensive geography / region dashboards.
6. Visualization
- Investigated BI software, including data warehousing, reporting, analysis, and visualization tools.
- Used MS Project to manage project time lines Delivers full reporting and creates visualization tools.
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- Leverage expert knowledge of Midland's operations and agile data analysis to model structured assets involving multiple investors and troubled assets.
- Transformed complex data analysis into easy-to-understand visualizations and created story points for executive meetings.
8. ETL
- Created business and functional requirement documents for ETL and Report developers.
- Performed GAP analysis of multiple data systems and discovered discrepancies that resulted in changes to ETL mappings and improved trending reports.
9. SQL Server
- Analyzed complex queries and tune the same to optimize application and system performance and to set up SQL Server configuration settings.
- Developed and maintained reports, universes and user profiles using Business Objects XI/R2 and 6.5 from Oracle and SQL Server databases.
10. 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.
- Collaborate with business stakeholders to identify key corporate metrics, enhance existing systems and generate new opportunities from the Data Warehouse.
- Reviewed and defined data management team member's decisions for implementation plan from source integration to enterprise data warehouse implementation.
11. Project Management
- Collaborate with internal and external developer teams to gather requirements and create user stories for development using agile project management methodology.
- Acted as lead from initial RFP requirements gathering and budgeting through project management of solution implementation and post-implementation training.
12. SR
- Analyze and prepare monthly reporting results to Sr. Mgnt teams on variances of actuals to budget.
13. Data Quality
- Participate in data governance corporate initiatives including efforts for data profiling and data quality.
- Performed risk assessments and proposed solutions to identify and resolve Data Quality issues.
14. 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.
- Train analysts how to effectively write code in SAS Enterprise Guide to pull the data necessary for their analysis.
- Assisted in automating manual SQL processes that were being run in Toad and SAS.
15. Data Warehousing
- Established the data warehousing competency and data management standards with a team of data architects.
- Developed data warehousing and business reporting solutions for Fortune 500 retail clients to enhance analytical capabilities of business teams.
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What skills help Senior Business Intelligence Analysts find jobs?
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What soft skills should all senior 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
What skills stand out on senior business intelligence 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
What hard/technical skills are most important for senior 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
What senior business intelligence analyst skills would you recommend for someone trying to advance their career?
Academic Director, Associate Professor, Brigham Young University-Hawaii
What type of skills will young senior business intelligence analysts need?
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.
List of senior business intelligence analyst skills to add to your resume

The most important skills for a senior business intelligence analyst resume and required skills for a senior business intelligence analyst to have include:
- Power Bi
- Tableau
- Analytics
- Business Intelligence
- Dashboards
- Visualization
- Data Analysis
- ETL
- SQL Server
- Data Warehouse
- Project Management
- SR
- Data Quality
- SAS
- Data Warehousing
- Data Models
- CRM
- Ssis
- SSRS
- Salesforce
- KPIs
- Client Facing
- Cognos
- Business Process
- Java
- Extraction
- HR
- VBA
- MicroStrategy
- Data Integrity
- Qlikview
- T-SQL
- Digital Marketing
- Oracle Sql
- Report Development
- SharePoint
- SSAS
- Process Improvement
- Azure
- QA
- Data Marts
- User Acceptance
- Teradata
- Profiling
- Technical Specifications
- Extract Data
- B Testing
Updated January 8, 2025