Senior Data Analyst

Fusemachines

1d • Remote

About The Position

Fusemachines is seeking a Senior Data Analyst / Analytics Engineer to lead business intelligence modernization initiatives. The role involves reverse-engineering legacy reporting logic and rebuilding high-performance analytical data models to support executive decision-making.

The analyst will work with technical leads, product managers, and business stakeholders to modernize legacy BI environments. They will translate dashboard calculations and business rules into scalable SQL models and cloud semantic layers, serving as a bridge between cloud data warehouses, semantic layers, and client-facing business teams.

The position is described as remote and contracted. Fusemachines is an AI strategy, talent, and education services and products provider with more than 450 full-time employees and a presence in Nepal, the United States, Canada, and the Dominican Republic.

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.
• 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.
• A 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 or advanced level.
• 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 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 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