Senior Data Analyst

Fusemachines is hiring a Senior Data Analyst / Analytics Engineer to modernize legacy business intelligence environments. The role involves reverse-engineering Tableau reporting logic, building scalable SQL and semantic data models, validating data parity, and aligning KPI definitions with technical and business stakeholders.

Responsibilities:

• Reverse-Engineer Reporting Logic: Audit and deconstruct legacy Tableau workbooks, deciphering nested formulas, calculated fields, and LOD expressions into clear business documentation
• Warehouse Data Modeling: Translate extracted business logic into scalable, maintainable SQL and transformation models using dbt across BigQuery and Snowflake
• Semantic Layer Implementation: Build and configure curated data models, metrics, and self-service topics in Omni Analytics (or Looker Studio)
• Data Parity & Governance: Implement thorough data validation checks to ensure metrics produced in the modern semantic layer match legacy benchmarks with 100% precision
• Stakeholder Alignment: Collaborate with technical teams, data engineers, and business leaders to define canonical KPI definitions and document data dictionaries
• Best Practices & Documentation: Establish reusable modeling standards, documentation, and maintainable BI pipelines for long-term platform health

Requirements:

• Bachelor's or master's degree in a quantitative field such as computer science, systems engineering, mathematics, statistics, or a related technical discipline
• At least 5 years of professional experience in data analytics, business intelligence, or analytics engineering
• At least 4 years of hands-on experience using Tableau to design, maintain, and audit complex dashboards and calculated fields
• Demonstrated experience with cloud data warehouses, specifically Google BigQuery and/or Snowflake
• Proven experience delivering BI migration, dashboard refactoring, or semantic data modeling projects
• Deep understanding of complex Tableau calculations, parameters, table calculations, and Level of Detail (LOD) expressions (FIXED, INCLUDE, EXCLUDE), with the ability to unpack workbook logic
• Strong expertise in writing performant, modular SQL (CTEs, window functions) and structuring data within Google BigQuery and/or Snowflake
• Hands-on experience with dbt for building curated data models and managing transformation workflows
• Hands-on experience building semantic data models or curated topics in Omni Analytics or Looker Studio (formerly Google Data Studio) / Looker
• Rigorous approach to data reconciliation, checking data parity between legacy source reporting and modernized target models
• Excellent verbal and written English communication skills (Full Professional / Advanced) to lead technical discussions, clarify metric definitions, and present solutions directly to stakeholders
• Self-motivated, proactive problem-solver comfortable working independently in an Agile sprint-based environment