Senior Data Analyst

Fusemachines • New York, NY

1d • 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 legacy Tableau dashboards and reporting logic, extracting business rules and Level of Detail calculations, and rebuilding metrics as scalable SQL models and cloud semantic layers. The analyst will work with technical leads, product managers, data engineers, business stakeholders, and client-facing teams to support executive decision-making and modernize legacy BI environments.

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.
• Deep knowledge of Tableau calculations, parameters, table calculations, and FIXED, INCLUDE, and EXCLUDE Level of Detail expressions.
• 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.
• Strong data reconciliation skills and a rigorous approach to validating parity between legacy reporting and modernized models.
• Advanced English communication skills to lead technical discussions, clarify metric definitions, and present solutions to stakeholders.
• Self-motivated, proactive problem-solver comfortable working independently in an Agile, sprint-based environment.

Responsibilities

• Audit and deconstruct legacy Tableau workbooks, translating nested formulas, calculated fields, and Level of Detail expressions into clear business documentation.
• Translate 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.
• Validate data thoroughly to ensure metrics in the modern semantic layer match legacy 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.

What This Job Offers

• Career Level: Senior