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Business intelligence architect skills for your resume and career
15 business intelligence architect skills for your resume and career
1. Analytics
- Performed as technical owner for introducing Tableau desktop and server as a preferred data visualization tool for analytics.
- Directed implementation of Data Warehousing, Business Intelligence and Predictive Analytics for all internal business systems.
2. Power Bi
- Utilized Power BI, Tableau, SSRS and Excel for data visualization.
- Experience with SQL Server Analysis Services, Microsoft Power BI, SSIS; Strong T-SQL skills both DML and DDL.
3. 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.
- Designed and developed performance dashboards used by senior management to monitor business performance and status.
- Analyzed business and user needs and designed Dashboards to support customer requirements.
4. Visualization
- Evangelized data visualization throughout the organization by designing, developing & maintaining visual display of all the mission critical data sets
- Participated in research and development of executive dashboard designs as prescribed by Stephen Few's information visualization techniques.
5. ETL
- Designed and implemented a unique metadata driven ETL solution for aggregated facts using partition switching and parallel processing.
- Developed front-end, metadata and ETL specification to support business requirements for reporting across the organization.
6. 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.
- Lead for the custom scheduler for Business Objects (Crystal, Web Intelligence and Desktop Intelligence) via Java SDK.
- Created a silent/auto print solution for web portal users using Active Tree Java PDF libraries and NetBeans IDE.
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- Assist companies build business intelligence solutions encompassing everything from enterprise data warehousing to web-deployed reporting and analysis.
- Managed multiple efforts for medium to large clients building enterprise data warehouse and business intelligence solutions.
8. 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.
- Included creating process documentation, agile project management techniques, continuous improvement, data warehouse performance improvement and post project mentoring.
- Participated in the design and development of an intricate, comprehensive data warehouse solution to standardize reporting across hospital systems.
9. Data Analysis
- Orchestrated operational objectives including identifying business intelligence, reporting and data analysis needs.
- Involved in detail data analysis of data validation, Cleansing, Data consistency and data quality checks.
10. Azure
- Designed and Implemented tableau infrastructure architecture using Azure SAML SSO authentication.
- Involved in moving database into Azure SQL Database to transition into Cloud Computing.
11. Data Warehousing
- Played a key role in upgrading enterprise data warehousing (EDW) from SQL 2005 to SQL Server 2014.
- Advance the existing data warehousing system and provide proof of concepts related to new business requirements.
12. 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.
- Saved over $100k/year by creating SSIS packages to automatically import and export data to new expense-reporting and reimbursement system.
- Designed and implemented standard template of SSIS packages to load data from operation databases into ODS, data marts.
13. Data Architecture
- Established guiding principles, standards and best practices for business driven data architecture and related technologies.
- Review and sometimes design of Data Architecture for all projects/enhancements that involve WHG's BI Reporting.
14. SSRS
- Created numerous enterprise analytic reporting solutions implemented in SSRS based on OLAP Cubes as well as OLTP data including interactive reports.
- Developed interactive reporting and analysis delivery platform with SQL Reporting Services (SSRS) and Crystal Reports to support accounting teams.
15. Hadoop
Hadoop is an open-source software and procedures framework that is free for anyone to use on the internet. Hadoop aids in big data operations. It allows massive data storage, applications to be run on commodity hardware, and can easily manage to run various tasks occurring at the same time.
- Established connectivity to Apache Hadoop from Cognos as well as Tableau.
- Developed efficient MapReduce programs for filtering out the unstructured data on a Hadoop framework implemented in Pseudo Distributed Mode.
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Clinical Professor of Marketing, Pennsylvania State University
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Professor of Business, King University
List of business intelligence architect skills to add to your resume
The most important skills for a business intelligence architect resume and required skills for a business intelligence architect to have include:
- Analytics
- Power Bi
- Dashboards
- Visualization
- ETL
- Java
- Business Intelligence Solutions
- Data Warehouse
- Data Analysis
- Azure
- Data Warehousing
- Ssis
- Data Architecture
- SSRS
- Hadoop
- SSAS
- Data Quality
- Cognos
- MicroStrategy
- Data Governance
- Metadata
- OLAP
- Data Lake
- EDW
- Data Marts
- SAS
- Data Integration
- Emerging Technologies
- CRM
- Salesforce
- Teradata
- Microsoft SQL Server
- PL/SQL
- Windows
- T-SQL
- SharePoint
- Prototyping
- Physical Data Models
- Client Facing
- SQL Server Analysis
- ERP
- Business Analysts
- Snowflake
- Business Processes
- MDX
- Linux
- Qlikview
- Extract Data
- Extraction
Updated January 8, 2025