Business Intelligence Engineer III

Preferred Travel Group•Newport Beach, CA

38d•$110,000 - $120,000•Hybrid

About The Position

The Business Intelligence Engineer III is responsible for developing and maintaining the company’s reporting and analytics solutions, ensuring stakeholder access to accurate, optimally presented data for actionable insights. This role is the primary business-facing representative of the data team and is expected to have expert knowledge of our data, including its structure, usage, and business meaning.

Requirements

Bachelor's degree in Business Analytics, Information Systems, or equivalent experience
5+ years of experience in business intelligence, data engineering, data science, or related field
Excellent communication skills with the ability to engage non-technical stakeholders effectively
Expert knowledge of reporting/data visualization tools, such as Power BI or Tableau
Expert knowledge of one or more relevant languages, such as SQL or Python
Strong understanding of data modeling concepts and ETL best practices
Experience with version control systems (e.g., Git) and best practices.
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

Responsibilities

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
Participate in troubleshooting and performance tuning of up stream data storage and processing
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 incode reviews to ensure adherence to best practices and high-quality deliverables
Contribute to technical documentation for processes, tools, and workflows
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