Senior Data Analyst

Fusemachines • New York, NY

2d

About The Position

Fusemachines is seeking a Senior Data Analyst / Analytics Engineer to lead business intelligence modernization initiatives. The role focuses on reverse-engineering complex reporting logic from legacy Tableau dashboards and rebuilding high-performance analytical data models to support executive decision-making. The analyst will work with technical leads, product managers, data engineers, business leaders, and other stakeholders to modernize legacy BI environments, translating business requirements across cloud data warehouses, semantic layers, and client-facing teams.

The role involves auditing Tableau workbooks and their embedded business rules, calculated fields, and Level of Detail expressions; translating those metrics into scalable SQL and dbt models across Google BigQuery and/or Snowflake; and implementing curated semantic models and self-service topics in Omni Analytics or Looker Studio/Looker. It also includes validating parity between legacy reports and modernized models, defining canonical KPIs, and establishing reusable modeling standards and documentation.

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 Tableau experience designing, maintaining, and auditing 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.
• Advanced knowledge of Tableau calculations, parameters, table calculations, and Level of Detail expressions (FIXED, INCLUDE, EXCLUDE), including the ability to unpack workbook logic.
• Strong expertise writing performant, modular SQL, including CTEs and window functions, and structuring data in 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/Looker.
• Rigorous approach to data reconciliation and validating parity between legacy reporting and modernized target models.
• Full professional/advanced English verbal and written communication skills.
• Self-motivated, proactive problem-solver comfortable working independently in an Agile sprint-based environment.

Responsibilities

• Audit and deconstruct legacy Tableau workbooks, including nested formulas, calculated fields, and Level of Detail expressions, and document the resulting business logic.
• Translate extracted business logic into scalable, maintainable SQL and dbt transformation models across BigQuery and Snowflake.
• Build and configure curated data models, metrics, and self-service topics in Omni Analytics or Looker Studio.
• Implement data validation checks to ensure modern semantic-layer metrics match legacy benchmarks with 100% precision.
• Collaborate with technical teams, data engineers, and business leaders to define canonical KPI definitions and document data dictionaries.
• Establish reusable modeling standards, documentation, and maintainable BI pipelines for long-term platform health.
• Lead technical discussions, clarify metric definitions, and present solutions directly to stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior