SUMMARY: The Business Intelligence Architect is responsible for design, delivery, and support of organization wide business intelligence applications and architecture.
ESSENTIAL DUTIES AND RESPONSIBILITIES include, but are not limited to, the following:
- Develop new insights and understanding of business performance based on data and statistical methods.
- Analyze external market dynamics and other data sources to assess trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis.
- Use data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management to drive decision making.
- Develop scalable and maintainable Business Intelligence (BI) applications to meet business objectives.
- Work with the business groups to develop and maintain data warehouse platform for BI reporting.
- Devise or modify procedures to solve complex problems.
- Responsible for capturing high-level business requirements into detailed functional specifications with an understanding of the customer's needs and managing requests for changes to those specifications.
- Apply system solutions to business problems through analyzing, designing, configuring, and maintaining systems to support business processes and functions.
- Work on elements of small to large, complex installations.
- Perform basic systems analysis techniques, testing, debugging, file design and storage.
- Responsible for the identification of and resolution of gaps in the business processes.
- Be the liaison between the business units, technology teams and support teams.
- Manage change requests related to the working project plans daily to meet the agreed deadlines.
SUPERVISORY RESPONSIBILITIESThis position will not have supervisory responsibility.
EDUCATION and/or EXPERIENCE - Required
- Bachelor's Degree in Computer Science, Information Systems or related field AND 2 years of experience delivering business intelligence solutions
- Fluent in relational database concepts and flat file concepts
- Knowledge in Software Development Lifecycle
- Cloud Technology: Azure, AWS, Google
- Database Technology: SQL Server, Oracle, Hadoop
- ETL Technology: SSIS, Perl, DataStage
- BI Technology: SSRS, SSAS, Power BI, Tableau, Essbase, Microsoft BI Stack, JET Reports, Qlikview
