Salary National Average
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Medium
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117360.0000
135590.0000
154040.0000
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Candidate Supply: 1,567
Job Openings: 858
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Short Description:
A Business Intelligence Architect is responsible for designing and implementing the architecture of data systems and BI solutions that support an organization's data analysis and reporting needs. Their duties include developing data models, optimizing data storage, and ensuring integration across multiple systems to enable efficient data extraction and visualization. Business Intelligence Architects work closely with stakeholders to define business requirements, oversee the technical aspects of BI projects, and ensure the scalability and security of data systems. Strong technical expertise in data warehousing, databases, and analytics tools are essential for success in this role, as BI Architects play a critical role in building the infrastructure that powers data-driven decision-making.
Duties / Responsibilities:
Guide business partners in developing and implementing Business Intelligence (BI) related strategic goals that will assist them in achieving their objectives.
Direct, influence, and support projects in implementing and using new BI software tools and systems.
Leads the integration efforts for merging BI platforms with enterprise systems and applications.
Design, code, test, and document all new or modified BI systems, applications, and programs.
Develop the data layer, cubes, metadata, and report functionality.
Leads the design of databases and data warehouses to ensure interoperability with BI solutions.
Analyze user requirements and, based on findings, design functional specifications for BI front-end applications.
Work with project managers to ensure that data entry, retrieval, change and delete functions meet business requirements for project completion.
Design and deliver end-user training and training materials; provide technical support as necessary.
Troubleshoot BI tools, systems, and software; performance-tune these applications as necessary.
Act as an evangelist for BI benefits throughout the organization, promoting healthy usage and adopting standards and best practices.
Evaluate and influence the selection of database/data warehouse components, including hardware performance, dimensional and relational database management systems, Extract Transform Load (ETL) best practices, metadata management tools, and database design solutions.
Conduct research and provide recommendations regarding BI products, services, and standards to support customer procurement, retention, and development efforts.
Mentor and provide leadership to members of the team.
Develop, design, implement, enhance, maintain and analyze database systems, queries, and procedures in SQL Server and other environments.
Develop complex SQL SSIS packages for ETL data for Data Warehouse projects and assignments and be able to modify existing Data Warehouse structure to incorporate data from disparate data sources.
Perform development and unit testing of ETL processes (various platforms).
Develop, test, and implement solutions that involve databases, OLAP cubes, and reporting components.
Perform initial data load and data validation in a production environment.
Conduct knowledge transfer sessions with team members, business and IT partners.
Facilitate user requirement discussions with the business and drive architecture and design consistent with enterprise strategy.
Skills / Requirements / Qualifications
Critical Thinking: Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
Active Listening: Giving full attention to what other people are saying, taking time to understand the points made, asking questions as appropriate, and not interrupting at inappropriate times.
Reading Comprehension: Understanding written sentences and paragraphs in work-related documents.
Active Learning: Understanding new information's implications for current and future problem-solving and decision-making.
Speaking: Talking to others to convey information effectively.
Judgment and Decision Making: Considering the costs and benefits of potential actions to choose the most appropriate one.
Systems Analysis: Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
Time Management: Managing one's own time and the time of others.
Writing: Communicating effectively in writing as appropriate for the audience's needs.
Complex Problem Solving: Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
Social Perceptiveness: Being aware of others' reactions and understanding why they react as they do.
Systems Evaluation: Identifying measures or indicators of system performance and the actions needed to improve or correct performance relative to the system's goals.
Coordination: Adjusting actions concerning others' actions.
Mathematics: Using mathematics to solve problems.
Monitoring: Monitoring/assessing the performance of yourself, other individuals, or organizations to make improvements or take corrective action.
Learning Strategies: Select appropriate training/instructional methods and procedures when learning or teaching new things.
Job Zones
Education: Most of these occupations require a four-year bachelor's degree, but some do not.
Related Experience: A considerable amount of work-related skill, knowledge, or experience is needed for these occupations.
Job Training: Employees in these occupations usually need several years of work-related experience, on-the-job training, or vocational training.
Job Zone Examples: Many of these occupations involve coordinating, supervising, managing, or training others. Examples include accountants, sales managers, database administrators, teachers, chemists, art directors, and cost estimators.
Specific Vocational Preparation in years: 2-4 years of preparation (7.0 to < 8.0)
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