Senior Data Analyst

Fusemachines • New York, NY

3d • Remote

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 for executive decision-making.

The analyst will work with technical leads, product managers, data engineers, and business stakeholders to modernize legacy BI environments. The work bridges cloud data warehouses, semantic layers, and client-facing business teams, translating embedded business rules and dashboard calculations into scalable SQL models and modern semantic layers.

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 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 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 / Looker.
• Rigorous approach to data reconciliation and checking parity between legacy reporting and modernized target models.
• Excellent verbal and written English communication skills at a Full Professional / Advanced level.
• 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 underlying 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 verify that modern semantic-layer metrics match legacy reporting benchmarks.
• 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

• Career Level: Senior