Senior Business Intelligence Engineer

OCI is seeking a Sr. Business Intelligence Engineer to join OCI’s Planning and Strategic Initiatives (PSI) team. The ideal candidate is a subject matter expert in business operations and analytics, with a passion for data and strong ability to translate complex information into actionable insights.

Requirements

• Owner: Own areas of the business for building custom analysis and dashboards to drive our stakeholders to action.
• Subject Matter Expert: Not only do you deeply understand the areas you will work in, but you are also gifted at explaining the “so what” to stakeholders.
• Team Players and Creative Problem Solver: Thrive in an ambiguous environment by proactively identifying challenges and working with teams to find creative solutions.
• Clear Communicator: You regularly communicate project status, updates and potential risk to internal and external stakeholders in a clear and approachable way.
• Relentless Learner: You will constantly evolve your way of working. This will include learning and leveraging AI to become a force multiplier.
• Data Analytics & Insights: Gather, model, analyze and interpret complex financial and operational data to develop comprehensive reports, dashboards, and visualizations to communicate business insights and drive data supported strategies.
• Feature/Driver Engineering: Improve data quality through anomaly detection, reconciliation and automated checks. Explore and research data and answer strategic business questions, with data transformation, statistical analyses, or machine learning methods.
• Basic Data Engineering, including building data pipelines, reliability/SLAs for data, governance/definitions, reporting layers, and operational analytics.
• Basic applied ML understanding, familiarity with model types (classification/regression), evaluation metrics (AUC, precision/recall), and core concepts such as feature engineering, model training, offline/online evaluation, etc
• Business/product problem framing with demonstrated ability to translate ambiguous questions into measurable hypotheses and requirements, and communication tradeoffs clearly
• Experience building dashboards and BI reporting (e.g., Tableau/Power BI/Looker) to operationalize insights and support decision-making.
• Experience with ETL/ELT and data modeling concepts such as dimensional modeling, event-event-log design, and semantic layers
• Experimentation (A/B testing) experience, including designing experiments, analyzing results, avoiding common pitfalls (selection bias, peeking, multiple comparisons)
• Metrics and KPI design expertise, including defining the north star and guardrail metrics and ensuring metric definitions are unambiguous, consistent, and actionable.
• Proficient in SQL and/or Python development for data analysis including writing complex queries, joining multiple sources, validating data quality, and building analysis-ready datasets
• Strong stakeholder management and executive communication skills, including synthesizing complex analyses into clear recommendations for executive audiences.

Benefits

• Flexible medical
• Life insurance
• Retirement options
• Volunteer programs
• Equal Employment Opportunity Employer
• Disability inclusion