Business Intelligence Architect (Consultant)
Business Intelligence Architect (Consultant)
Quimbee
United States
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Overview:
In this role, you'll spearhead the development of a comprehensive data strategy, optimizing database systems, and establishing data management processes. You'll use data to establish innovative, thoughtful, and cost-effective business intelligence strategies, formulating actionable recommendations and requirements for successful execution. Leveraging your data expertise, you'll convert analytical insights into practical action items for enhancing business performance.
Responsibilities:
In this role, you'll spearhead the development of a comprehensive data strategy, optimizing database systems, and establishing data management processes. You'll use data to establish innovative, thoughtful, and cost-effective business intelligence strategies, formulating actionable recommendations and requirements for successful execution. Leveraging your data expertise, you'll convert analytical insights into practical action items for enhancing business performance.
Responsibilities:
- Analyze, build, and define data architecture framework
- Identify, analyze, and design business intelligence solutions to meet company needs
- Develop data models, ETL processes, and data pipelines to facilitate data integration and transformation
- Utilizing SQL queries to extract and manipulate data for analysis and reporting purposes
- Developing and maintaining reports and dashboards from scratch, with a focus on financials, sales, and other key performance indicators
- Research and suggest data analytics tools and visualization platforms
- Perform data analysis to identify trends and insights that can be used to inform business decisions
- Build queries, visualizations, and dashboards based on stakeholder-provided requirements
- Prepare reports and presentations to communicate the insights and findings from the data to stakeholders
- Create and maintain documentation of data visualization processes, tools, and best practices
- A degree in data analytics, computer science, or related field
- 3-5 years of experience in a data-related or business intelligence position
- Expert level proficiency in SQL and database management, with a strong understanding of relational database concepts
- Familiarity with data integration techniques and ETL processes
- Expert level proficiency in business intelligence tools, data processing frameworks, and report writing
- A working understanding or mastery of automation, machine learning, and database management
- Comfort leveraging different technologies, reporting tools, and data visualization platforms
- Problem-solving mindset and big-picture view of information
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Business Development and Sales -
Industries
Primary and Secondary Education and Non-profit Organizations
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