Senior Business Intelligence Engineer

Role Overview

• Design, build, and maintain reports, dashboards, and data visualizations
• Write optimized queries to support complex business analysis in reports and ad-hoc queries
• Ensure accuracy, reliability, and performance of all reports and analytics solutions
• Drive development of advanced analytics capabilities with machine learning and AI
• Act as primary point of contact for business users regarding reporting and data inquiries
• Conduct trainings and office hours to improve self-service analytics adoption and outcomes
• Gather and analyze business requirements, translating them into technical solutions
• Respond to user tickets and bug reports in a timely manner
• Assist in designing and optimizing data models for reporting and analytics purposes
• Work with Data Engineers to define and improve data processes that serve reporting needs
• Monitor and maintain the performance and availability of all reports and analytics solutions
• Troubleshoot and resolve reporting-related issues, ensuring minimal downtime for end users
• Identify opportunities for process automation and efficiency across the data environment
• Enforce data governance policy
• Manage and prioritize work in ticketing system
• Maintain regular communication in stand-ups and stakeholder meetings
• Participate in code reviews to ensure adherence to best practices and high-quality deliverables
• Mentor other team members by sharing knowledge and providing guidance on best practices
• Take ownership of complex projects, ensure timely delivery of solutions that meet requirements
• Advocate for adoption and usage of our tools and new technologies across the company.

Requirements

• Bachelor's degree or higher in Business Analytics, Information Systems, or other relevant degree/related field, or equivalent professional experience
• Excellent communication skills with the ability to engage non-technical stakeholders effectively
• Expert knowledge of reporting/data visualization tools (Power BI)
• Expert knowledge of one or more relevant languages (DAX, SQL, Python, R)
• Strong understanding of data modeling concepts and ETL best practices
• Experience with version control systems and best practices (Git, GitHub)
• Knowledge of machine learning and AI concepts and their applications to business intelligence
• Strong problem-solving skills and the ability to work independently on complex tasks.

Tech Stack

• ETL
• Python
• SQL

Benefits

• Competitive compensation
• Remote-first lifestyle
• Career growth opportunities across industries and technologies