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Business intelligence-senior manager skills for your resume and career

Updated January 8, 2025
4 min read
Below we've compiled a list of the most critical business intelligence-senior manager skills. We ranked the top skills for business intelligence-senior managers based on the percentage of resumes they appeared on. For example, 19.0% of business intelligence-senior manager resumes contained analytics as a skill. Continue reading to find out what skills a business intelligence-senior manager needs to be successful in the workplace.

15 business intelligence-senior manager skills for your resume and career

1. Analytics

Here's how business intelligence-senior managers use analytics:
  • Partnered with analytics suppliers in exploring value of unstructured data and assessing big data technologies.
  • Develop go-to-market Analytics offerings as well as internal revenue-optimizing projects for existing clients.

2. Tableau

Here's how business intelligence-senior managers use tableau:
  • Transformed Tableau environment for self-service, performance and scalability.
  • Purchased, installed and configured Informatica, BizTalk, and Tableau software applications.

3. Visualization

Here's how business intelligence-senior managers use visualization:
  • Initiated technology and go to market partnership with leading information visualization software providers and facilitating the ongoing research.
  • Develop, deploy and manage business intelligence and visualization tools of significant complexity.

4. Project Management

Here's how business intelligence-senior managers use project management:
  • Implemented project management methodologies to mange projects from initial feasibility analysis and conceptual design through implementation and enhancement.
  • Established VOC strategy, execution, and project management methodology, In support of TS strategy and its customer satisfaction philosophy.

5. Data Analysis

Here's how business intelligence-senior managers use data analysis:
  • Provide data analysis using statistical techniques to facilitate business decisions.
  • Provided Business guidance thru historical data analysis of sales, profitability and pricing history to optimize business plans for upcoming year.

6. Data Management

The administrative process that involves collecting and keeping the data safely and cost-effectively is called data management. Data management is a growing field as companies rely on it to store their intangible assets securely to create value. Efficient data management helps a company use the data to make better business decisions.

Here's how business intelligence-senior managers use data management:
  • Provided technical direction, oversight, and checkpoints to enforce data management standards and quality of solutions.
  • Led the Business Intelligence and Master Data Management initiatives for the global company.

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7. SR

Here's how business intelligence-senior managers use sr:
  • Managed relationships with individual Queue Directors and conducted presentations at the Sr. Executive Level.

8. Business Operations

The operations that carry out the inner working of an organization are called business operations. From creating products, to marketing them, business operations play a vital role in every step.

Here's how business intelligence-senior managers use business operations:
  • Improved working relationship between business Operations and Technology Services.
  • Established ROB framework enabling increased business operations efficiency.

9. 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-senior managers use data warehouse:
  • Managed departmental access to data warehouse and worked with managers to create business intelligence and data reporting tools.
  • Managed team in migrating data from data warehouse to SAS environment for statistical modeling and analysis.

10. ETL

Here's how business intelligence-senior managers use etl:
  • Supported daily, weekly and monthly ETL load processes by providing oversight and SLA governance.
  • Developed ETL methods to utilize data from 33 sources across multiple security domains.

11. Data Warehousing

Here's how business intelligence-senior managers use data warehousing:
  • Championed the business case and strategy for the next-generation data warehousing centered on the SAP HANA platform.
  • Team consisted of two functional areas -- data warehousing and reporting.

12. Data Quality

Here's how business intelligence-senior managers use data quality:
  • Developed a comprehensive data quality monitoring system with a web interface.
  • Worked with the internal engineering and finance teams to ensure data quality.

13. Data Governance

Data governance is an assortment of cycles, jobs, arrangements, principles, and measurements that guarantee the successful and productive utilization of data in empowering an association to accomplish its objectives. Information administration characterizes who can make a what move, upon what information, in what circumstances, utilizing what strategies

Here's how business intelligence-senior managers use data governance:
  • Developed Data Governance policies and procedures collaboratively with worldwide personnel for the update of Master Data according to daily business needs.
  • Provided effective oversight of data governance by closely working with stakeholders and compliance officer.

14. Data Architecture

Here's how business intelligence-senior managers use data architecture:
  • Develop data architecture design for customer expected analysis.
  • Led the Treasury data architecture simplification initiatives.

15. 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-senior managers use sas:
  • Lead for implementation of SAS Enterprise Business Intelligence solution, directing both IT and business staff.
  • Lead in Developing SAS data marts for various departments based on their needs.
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List of business intelligence-senior manager skills to add to your resume

Business intelligence-senior manager skills

The most important skills for a business intelligence-senior manager resume and required skills for a business intelligence-senior manager to have include:

  • Analytics
  • Tableau
  • Visualization
  • Project Management
  • Data Analysis
  • Data Management
  • SR
  • Business Operations
  • Data Warehouse
  • ETL
  • Data Warehousing
  • Data Quality
  • Data Governance
  • Data Architecture
  • SAS
  • Business Strategy
  • Data Lake
  • Teradata
  • Direct Reports
  • Data Models
  • Ssis
  • Microsoft SQL Server
  • Cognos
  • Digital Marketing
  • Data Structures
  • Java
  • Emerging Technologies
  • Data Integration
  • Process Improvement
  • CRM
  • EDW
  • Informatica
  • Business Development
  • QA
  • KPI
  • SSAS
  • ERP
  • Business Analysts
  • ROI
  • Hyperion
  • Data Marts
  • Strategic Direction
  • Extraction
  • Solution Architecture
  • SharePoint

Updated January 8, 2025

Zippia Research Team
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.

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