Business Intelligence Engineer

Role overview Improve the reliability and usefulness of a centralized enterprise data warehouse by connecting source data to clear business measures. You will help teams across functions understand and use data consistently, support advanced analytics needs, and communicate findings to technical and non-technical stakeholders. The role combines data modeling, quality oversight, KPI development, and business partnership.

Responsibilities - Guide property analyst teams on data sources and appropriate data use, and coordinate incoming data requests. - Translate transactional data into relevant measures and explain data relationships to business leaders. - Support data needs for advanced analytics and modeling initiatives. - Monitor data quality, identify risks, and coordinate resolution and escalation practices. - Track data performance and service thresholds to support reliable end-user adoption. - Work with stakeholders to define new data requirements and present findings through suitable communication channels.

Requirements - University degree in computer science, statistics, business, or a related field. - At least 3 years of experience in data modeling or analytics. - Hands-on SQL, Tableau or another business intelligence platform, and relational database experience. - Strong problem-solving, organization, and prioritization skills. - Ability to manage stakeholder relationships and communicate with technical and non-technical leaders. - Interest in sports, casino, or consumer products; Python and machine learning familiarity are a plus.

Benefits and work setup - Listed salary range: $80,000–$115,000 USD. - The listing mentions education and conference reimbursement, career growth, and opportunities to mentor. It also identifies the role as remote and hybrid.