Business Intelligence Engineer

As a Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable solutions and responding to requests for rapid releases of analytical outcomes.

What You Will Do

• Design, develop, and maintain interactive dashboards, reports, and data visualizations using BI tools (e.g., Power BI, Tableau, Cognos, others).
• Analyze datasets to identify trends, patterns, and insights that inform business strategy and decision-making.
• Partner with leaders and stakeholders across Finance, Sales, Customer Success, Marketing, Product, and other departments to understand their data and reporting requirements.
• Stay abreast of the latest trends and technologies in business intelligence and data analytics, inclusive of AI use in BI.
• Elicit and document clear and comprehensive business requirements for BI solutions, translating business needs into technical specifications and solutions.
• Collaborate with Data Engineers to ensure efficient up-system transformations and create data models/views that will hydrate accurate and reliable BI reporting.
• Contribute to data quality and governance efforts to ensure the accuracy and consistency of BI data.

Basic Qualifications

• Master's degree and 1 to 3 years of Computer Science, IT, or related field experience; OR
• Bachelor's degree and 3 to 5 years of Computer Science, IT, or related field experience; OR
• Diploma and 7 to 9 years of Computer Science, IT, or related field experience.

Functional Skills

• 1+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets.
• AWS Developer certification (preferred).

Soft Skills

• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills.
• Ability to work effectively with global, virtual teams.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals.
• Strong presentation and public speaking skills.