Senior Data Analyst

Fusemachines • New York, NY

3d

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 their reporting logic, then rebuilding high-performance analytical data models and semantic layers to support executive decision-making.

The Senior Data Analyst / Analytics Engineer works with technical leads, product managers, data engineers, business stakeholders, and business leaders to modernize legacy BI environments. The position translates between cloud data warehouses, semantic layers, and client-facing business teams, and develops scalable, maintainable analytics models using tools such as Tableau, BigQuery, Snowflake, dbt, and Omni Analytics or Looker Studio.

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 expressions (FIXED, INCLUDE, EXCLUDE), with 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.
• A rigorous approach to data reconciliation and checking parity between legacy source reporting and modernized target models.
• Excellent verbal and written English communication skills at Full Professional / Advanced level.
• Ability 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.

Responsibilities

• Audit and deconstruct legacy Tableau workbooks, including nested formulas, calculated fields, and Level of Detail expressions, and document the underlying business rules.
• 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.
• Conduct data validation and reconciliation to ensure modern semantic-layer metrics match legacy reporting 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 to support long-term platform health.

What This Job Offers

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