Join a high-visibility analytics team supporting compensation programs that influence decisions across a global workforce. This six-month Business Intelligence Engineer II opportunity focuses on building dependable reporting, improving automation, and helping leadership make data-driven decisions with confidence.

Responsibilities

• Maintain weekly compensation reporting workflows, including data validation, cross-checks, and distribution to key stakeholders.
• Support compensation calculators and lookup tables through regular refresh cycles to ensure outputs reflect approved and current data.
• Process and verify sensitive retention-related data submissions and manage uploads that feed downstream reporting and compensation tools.
• Update reference mappings and implement configuration, pipeline, and logic enhancements as needed.
• Help manage secure access to confidential compensation data by following approval steps and maintaining audit records.
• Partner with data and BI engineers to design automated pipelines, scheduled processes, and self-service solutions in a cloud data warehouse environment.
• Identify opportunities to reduce manual work, improve reliability, and create long-term automated solutions.
• Contribute to leadership-facing dashboards and reporting processes used on a weekly basis.

Skills

• 3+ years of experience working with data in Redshift, Oracle, NoSQL, or similar environments.
• Strong SQL skills for querying, transforming, and validating warehouse data.
• Python scripting experience for automating data workflows and repetitive tasks.
• Hands-on experience with data modeling, warehousing, and ETL pipeline development.
• Experience using visualization tools such as QuickSight, Tableau, or similar platforms.
• Ability to break down business needs into an analytical plan and deliver practical solutions.
• Clear communication skills and comfort working with both technical and non-technical partners.
• Strong attention to detail when handling confidential and business-critical information.

Preferred Skills

• Experience with statistical analysis tools or packages.
• Background improving manual reporting processes through automation and self-service access.
• Familiarity with cloud-based BI tools and AI-assisted insights capabilities.
• Academic or professional experience in statistics, programming, or another quantitative field.
• Experience supporting governance, auditability, or access controls for sensitive data.

Horizontal is committed to fostering an inclusive workplace where diverse perspectives are valued, and every team member has the opportunity to contribute and grow. We encourage applicants from all backgrounds to apply and welcome candidates who bring different experiences, ideas, and approaches.