Main Responsibilities and Required Skills for a Business Intelligence Architect
A Business Intelligence Architect is a professional who plays a crucial role in designing and implementing robust data management and analytics solutions within an organization. They are responsible for creating a solid foundation for business intelligence initiatives, enabling data-driven decision-making and driving organizational growth. In this blog post, we will delve into the primary responsibilities and the most in-demand hard and soft skills for Business Intelligence Architects.
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Main Responsibilities of a Business Intelligence Architect
The following list describes the typical responsibilities of a Business Intelligence Architect:
Address
Address customer queries and issues in a timely manner.
Advocate
Advocate on behalf of the business for their business intelligence needs.
Analyze
Analyze data incidences and processes to optimize BI solutions and complexity reductions.
Analyze existing data infrastructure and identify areas for improvement.
Architect
Architect and implement the roadmap for the current and future data warehouse architecture.
Assist with
Assist Information Systems Leadership with the development of the IS Services Delivery strategy.
Assist in maintaining and enhancing data governance and security practices for the enterprise.
Collaborate with
Collaborate and closely align with solution architects, data analysts, and cloud engineering teams.
Collaborate and work with end users to ensure that data and reports meet their business needs.
Collaborate with business analysts and data scientists to define analytical requirements.
Collaborate with cross-functional teams to integrate data from various sources.
Collaborate with IT infrastructure teams for hardware and network requirements.
Collaborate with stakeholders to understand business requirements.
Complete
Complete knowledge of end to end lifecycle development without requiring prescriptive direction.
Conduct
Conduct data analysis and identify insights for business stakeholders.
Conduct data profiling and data quality assessments.
Conduct performance tuning and troubleshooting of data systems.
Consult
Consult on a variety of reporting request from various team.
Consult with internal and external clients on business intelligence activities.
Consult with team members and other organizations, clients and vendors on complex issues.
Contribute to
Contribute to, and define, a Data Catalog sustainment model.
Contribute to the determination of technical and operational feasibility of solutions.
Contribute to the strategic direction of the BI team and beyond.
Create
Create and maintain data dictionaries and metadata repositories.
Create consensus among functional leaders while maintaining the integrity of the overall strategy.
Create data extraction, transformation, and loading (ETL) processes.
Create new reporting capabilities and respond to ad hoc reporting requests as needed.
Define
Define BI standards, guidelines and best practices for business groups and technical teams.
Define data governance policies and procedures.
Define data modeling and integration strategies.
Design
Design and develop scalable and efficient data architecture solutions.
Design and implement data analytics and business intelligence platforms.
Design and implement data security and access controls.
Design and implement data warehouses and data marts.
Design business intelligence dashboards to measure account performance.
Design reporting for a variety of teams.
Determine
Determine best practices in implementing reporting for new clients.
Develop
Develop and maintain data architecture documentation.
Develop data integration workflows and mappings.
Develop data migration strategies during system upgrades or replacements.
Develop data models and database schemas.
Develop data visualization and reporting solutions.
Develop innovative team solutions to complex problems.
Develop project management artifacts and documentation.
Develop scalable and maintainable BI applications to meet business objectives.
Develop security and authentication standards for the organization.
Devise
Devise better data-driven models of human behavior.
Diagnose
Diagnose and resolve BI tool capacity issues.
Direct
Direct experience managing and contributing to large and complex BI projects.
Document
Document notes related to new development procedures with clear steps and screenshots.
Ensure
Ensure compliance with data privacy regulations.
Ensure data quality, integrity, and consistency.
Ensure validity of reporting.
Evaluate
Evaluate and select appropriate business intelligence tools and technologies.
Execute
Execute and coordinate requirements management and change management processes.
Facilitate
Facilitate and contribute to product selection in BI architecture-related areas.
Find
Find pragmatic solutions to problems.
Gather
Gather requirements from stakeholders.
Identify
Identify and resolve data-related issues and anomalies.
Implement
Implement changes to the product based upon stakeholder feedback.
Integrate
Integrate technical expertise and business understanding to create superior solutions for clients.
Lead
Lead data integration initiatives with partners, providers, and acquisitions.
Lead the database analysis, design, and build efforts.
Leverage
Leverage managed services to troubleshoot issues with data quality as identified by stakeholders.
Leverage others' strengths and experiences to achieve team goals.
Maintain
Maintain accurate and complete technical architectural documents.
Maintain sales tools and implement changes based upon stakeholder feedback.
Maintain, support, and enhance the business intelligence data backend, including data warehouses.
Make
Make recommendations to improve operational processes relative to efficiency and effectiveness.
Manage
Manage and implement reporting workstream for new clients.
Manage system changes with minimal interruptions to the business users.
Manage the data flow in and around the product.
Manage the development of the Data Warehouse & Business Intelligence platforms.
Monitor
Monitor and optimize data integration and data processing jobs.
Optimize
Optimize data storage and retrieval performance.
Participate in
Participate in the development and execution of data governance initiatives.
Perform
Perform maintenance and troubleshooting activities for BI tools.
Perform research to advance the science and technology of intelligent machines.
Produce
Produce documentation, artifacts and designs for technical and non-technical audiences.
Provide
Provide documentation and explanation of technical solutions in a professional manner.
Provide expert guidance on Business Intelligence (BI) skills and technologies.
Provide input on staffing, budget and personnel.
Provide support functions as needed.
Provide technical guidance and mentorship to the development team.
Provide technical training on BI tools to junior staffs.
Recommend
Recommend strategies to improve performance and capacity of BI tools.
Report
Report Writing, Dashboard Development, ETL Development.
Research
Research new technology and develop business cases to support enterprise wide BI solutions.
Review
Review, Create, and Change calculation views in collaboration with team member(s).
Set
Set and convey clear goals and monitors progress.
Stay updated with
Stay current and provide insight on cutting edge software approaches, architectures and vendors.
Stay updated with emerging trends and advancements in business intelligence.
Support
Support BI tools upgrades in development, testing and documentation.
Take
Take ownership to ensure delivery in a timely, measure fashion.
Turn
Turn IT strategy into action.
Value
Value contributions of all team members and other constituencies.
Value team accomplishments over individual accomplishments.
Work
Work collaboratively as a senior member of the Business Intelligence & Reporting team.
Work in a team closely aligned with Population Health Services and a Data Analytics team.
Most In-demand Hard Skills
The following list describes the most required technical skills of a Business Intelligence Architect:
Data modeling and database design.
Business intelligence and analytics platforms (e.g., Power BI, Tableau).
SQL programming and query optimization.
ETL tools (e.g., Informatica, Talend).
Data warehousing and dimensional modeling.
Data integration techniques and tools.
Data security and access controls.
Big data technologies (e.g., Hadoop, Spark).
Cloud platforms (e.g., AWS, Azure, GCP).
Data visualization and reporting tools.
Data governance frameworks and best practices.
Relational and NoSQL databases.
Data migration strategies and tools.
Data quality assessment and data cleansing techniques.
Data architecture frameworks (e.g., TOGAF, Zachman).
Data virtualization and federation.
Statistical analysis and data mining.
Data cataloging and metadata management tools.
Machine learning and predictive analytics.
Data profiling and data discovery.
Most In-demand Soft Skills
The following list describes the most required soft skills of a Business Intelligence Architect:
Analytical thinking and problem-solving.
Strong communication and presentation skills.
Collaboration and teamwork.
Business acumen and domain knowledge.
Project management and organizational skills.
Stakeholder management and relationship building.
Critical thinking and decision-making.
Adaptability and continuous learning.
Leadership and influence.
Attention to detail and accuracy.
Conclusion
By possessing a combination of these hard and soft skills, a Business Intelligence Architect can effectively design and implement data solutions that empower organizations to gain valuable insights and make data-driven decisions. With their expertise in data architecture, integration, and analytics, Business Intelligence Architects play a crucial role in unlocking the full potential of an organization's data assets.
