Business Intelligence Architect (Consultant)

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:

• 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.

Requirements

• 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.