What are the responsibilities and job description for the Business Intelligence Architect - requires relocation to Wisconsin, Remote work position at NovaLink Solutions?
Job Details
Our organization is seeking a highly skilled and experienced Business Intelligence Architect III to lead the design, development, and implementation of our enterprise-wide BI solutions. This role will be instrumental in transforming raw data into actionable insights, driving strategic decision-making, and optimizing business performance.
The BI Architect III will collaborate with stakeholders across the organization to understand data requirements, design robust data architectures, and ensure the delivery of high-quality, scalable BI solutions.
Responsibilities:
- Design and develop enterprise-level BI architectures, including data warehouses, data marts, and ETL processes.
- Lead the development and implementation of BI solutions, ensuring alignment with business needs and technical requirements.
- Define data modeling standards and best practices, and ensure data integrity and consistency across all BI systems.
- Evaluate and recommend BI tools and technologies, staying up-to-date with industry trends and advancements.
- Collaborate with data engineers, data analysts, and business users to gather requirements and translate them into technical specifications.
- Optimize BI performance and scalability, ensuring efficient data processing and retrieval.
- Develop and maintain BI documentation, including data dictionaries, technical specifications, and user guides.
- Provide technical leadership and mentorship to junior BI team members.
- Design and implement data security measures to protect sensitive information.
- Develop and implement data quality processes and metrics.
- Work with stakeholders to define and implement KPI's and dashboards.
- Perform data analysis and identify trends and patterns to support business decision-making.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- Minimum of 7-10 years of experience in business intelligence and data warehousing.
- Strong understanding of data warehousing concepts, including dimensional modeling, ETL processes, and technologies.
- Proficiency in SQL and experience with database management systems (e.g., Oracle, SQL Server, PostgreSQL).
- Experience with BI tools and platforms (e.g., Tableau, Power BI, Looker).
- Experience with cloud-based data warehousing and BI solutions (e.g., AWS Redshift, Azure Synapse, Google BigQuery).
- Strong understanding of data governance and data quality principles.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and as part of a team.
- Experience in data modeling and architecture.
- Experience in performance tuning of BI applications.
- Experience with data integration tools.
Requirements
Top Skills & Years of Experience:
- Define data modeling standards and best practices, and ensure data integrity and consistency across all BI systems. (5 years)
- Collaborate with data engineers, data analysts, and business users to gather requirements and translate them into technical specifications. (3 years)
- Design and develop enterprise-level BI architectures, including data warehouses, data marts, and ETL processes. (5 years)
Nice to have skills:
- Minimum of 7-10 years of experience in business intelligence and data warehousing.
- Strong understanding of data warehousing concepts.
- Experience with BI tools and platforms (e.g., Tableau, Power BI, Looker).
Project details:
This role will be instrumental in transforming raw data into actionable insights, driving strategic decision-making, and optimizing business performance. The BI Architect III will collaborate with stakeholders across the organization to understand data requirements, design robust data architectures, and ensure the delivery of high-quality, scalable BI solutions. This position will assist our journey in developing a robust data architecture and our move towards data-driven decision making.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
