Senior Analytics Engineer (AI & Business Intelligence)

Ownership & Delivery:

• Own end-to-end analytics initiatives from stakeholder discovery through implementation, validation, automation, and business adoption.
• Partner with business, BI, data, and technical stakeholders to clarify objectives and convert ambiguous requests into actionable work.
• Design, write, optimize, and validate advanced SQL queries against large-scale enterprise datasets.

AI & Automation:

• Apply AI and automation to improve BI workflows, including natural language-to-SQL, BI copilots, automated insight generation, and anomaly detection.
• Build, evaluate, test, and refine AI-assisted analytics workflows to ensure accuracy, explainability, and business trust.
• Identify opportunities to reduce manual reporting effort, improve analytical throughput, and increase BI team productivity.

Validation & Communication:

• Validate analytical outputs through rigorous data-quality checks, metric reconciliation, and stakeholder confirmation.
• Create clear documentation for analytics logic, SQL assumptions, data lineage, and AI workflow behavior.
• Communicate insights, tradeoffs, risks, and recommendations clearly to both technical and non-technical stakeholders.