Design, build, and own complex business intelligence datasets, semantic layers, and Tableau dashboards that model CXO performance across volume, efficiency, quality, and customer outcomes.
Partner closely with data engineering to define data contracts, source system integrations, and transformation logic, ensuring reliable, scalable pipelines from operational systems (e.g., CRM, contact center platforms).
Write, optimize, and maintain advanced SQL transformations (CTEs, window functions, performance-tuned queries) used in production reporting and analytics.
Establish and steward a clear metric taxonomy and metadata framework, including definitions, documentation, and ownership used consistently across operational and executive reporting.
Perform data validation, reconciliation, and root-cause analysis to ensure accuracy, consistency, and trust in CXO reporting.
Design BI assets that support downstream use cases, including experimentation, automation, and AI-enabled customer experience initiatives.
Create executive-ready dashboards and narratives that translate complex operational data into clear insights, risks, and opportunities.

8+ years of experience in Business Intelligence, Analytics Engineering, or related analytical roles with hands-on ownership of data models and reporting assets.
4+ years of experience writing and optimizing complex SQL, including multi-CTE transformations, window functions, and large-scale joins.
4+ years experience with Tableau or related visualization tools
Strong experience building Tableau dashboards backed by well-structured semantic layers, not just ad hoc queries.
Solid understanding of ETL / ELT workflows, data pipelines, and how data moves from source systems to analytics layers.
Experience working with APIs or operational system data, and the ability to reason about source data structure, refresh patterns, and data quality risks.
Proven ability to define, document, and govern business metrics and metadata used by senior leadership.
Comfortable navigating ambiguity in data and systems, and driving clarity through structured analysis and cross-functional collaboration.

Business Intelligence Manager

Key skills