Senior Analytics Engineer

Fusemachines; New York (NY); Remote; USD 120.000 - 150.000; Teilzeit

Zusammenfassung

Fusemachines is seeking a Senior Data Analyst / Analytics Engineer to modernize BI with Tableau, LookML, and cloud data warehouses. You will deconstruct legacy dashboards, re-architect metrics, and build scalable semantic layers for executive decision-making.

You will collaborate with product managers and business stakeholders, translating complex logic into maintainable SQL models and LookML Explores while ensuring data parity and governance.

Qualifikationen

• Bachelor's or master's degree in a quantitative field such as CS, math, statistics, or engineering.
• 0
• At least 5 years in data analytics, BI, or analytics engineering.
• At least 4 years designing dashboards with Tableau and maintaining complex calculations.
• Hands-on LookML semantic modeling (views/explores) in Looker.
• Experience with BigQuery and/or Snowflake.
• BI migration, dashboard refactoring, or semantic data modeling projects.

Aufgaben

• Reverse‑engineer legacy Tableau workbooks and document logic.
• Translate business rules into scalable SQL and dbt models across BigQuery/Snowflake.
• Architect and maintain LookML semantic models and self-service Explores.
• Ensure data parity between legacy reports and modern semantic layers.
• Collaborate with engineers, product and stakeholders to define KPI definitions.
• Document standards, Git workflows, and maintain BI pipelines for scale.

Kenntnisse

Tableau engineering

SQL & data warehousing

dbt modeling

LookML semantic models

Looker Studio

Omni Analytics / Looker Studio

Git workflows

Ausbildung

Bachelor's or Master's in a quantitative field

Tools

Google BigQuery

Snowflake

Looker Studio

LookML

dbt

Omni Analytics

Git

Jobbeschreibung

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services and products provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (United States, Canada, Dominican Republic and Nepal) and more than 450 full-time employees, Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

Type: Remote, Contracted

About the Role

We are seeking a talented and experienced Senior Data Analyst / Analytics Engineer with deep expertise in Tableau, Google BigQuery, Snowflake, and modern semantic data modeling (LookML / Looker, dbt, Omni, or Looker Studio) to join our team. In this role, you will lead critical business intelligence modernization initiatives, reverse-engineering complex reporting logic from legacy dashboards and rebuilding high-performance analytical data models to power executive decision-making.

Job Description

As a Senior Data Analyst / Analytics Engineer, you will work closely with technical leads, product managers, and business stakeholders to modernize legacy BI environments.

You will be responsible for deconstructing legacy dashboard architectures, extracting embedded business rules and Level of Detail (LOD) calculations, and re-architecting those metrics into scalable SQL models and LookML-governed cloud semantic layers.

You will perform as a core data translator, bridging the gap between cloud data warehouses, semantic layers, and client-facing business teams.

Qualification & Experience

• 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 hands-on experience coding and maintaining LookML semantic models (views, explores, derived tables) in Looker.
• Demonstrated experience with cloud data warehouses, specifically Google BigQuery and/or Snowflake.
• Proven experience delivering BI migration, dashboard refactoring, or semantic data modeling projects.

Required Skills / Competencies

• Advanced Tableau Engineering: Deep understanding of complex Tableau calculations, parameters, table calculations, and Level of Detail (LOD) expressions (FIXED, INCLUDE, EXCLUDE), with the ability to unpack workbook logic.
• Cloud Data Warehousing & Advanced SQL: Strong expertise in writing performant, modular SQL (CTEs, window functions) and structuring data within Google BigQuery and/or Snowflake.
• Modern Transformations & Modeling: Hands-on experience with dbt for building curated data models and managing transformation workflows.
• LookML & Modern BI Semantic Layers: Direct, hands-on experience writing LookML (.view and .model files, Explores, Persistent Derived Tables, symmetric aggregates) with Git version control, alongside building curated topics in Omni Analytics or Looker Studio.
• Data Validation & Quality Assurance: Rigorous approach to data reconciliation, checking data parity between legacy source reporting and modernized target models.
• Communication & Stakeholder Management: Excellent verbal and written English communication skills (Full Professional / Advanced) to lead technical discussions, clarify metric definitions, and present solutions directly to stakeholders.
• Ways of Working: Self-motivated, proactive problem-solver comfortable working independently in an Agile sprint-based environment.

Responsibilities

• Reverse-Engineer Reporting Logic: Audit and deconstruct legacy Tableau workbooks, deciphering nested formulas, calculated fields, and LOD expressions into clear business documentation.
• Warehouse Data Modeling: Translate extracted business logic into scalable, maintainable SQL and transformation models using dbt across BigQuery and Snowflake.
• Semantic Layer Implementation: Architect, write, and maintain LookML semantic models, reusable metrics, and self-service Explores/topics in Looker, Omni Analytics, or Looker Studio.
• Data Parity & Governance: Implement thorough data validation checks to ensure metrics produced in the modern semantic layer match legacy benchmarks with 100% precision.
• Stakeholder Alignment: Collaborate with technical teams, data engineers, and business leaders to define canonical KPI definitions and document data dictionaries.
• Best Practices & Documentation: Establish reusable modeling standards, Git workflows, documentation, and maintainable BI pipelines for long-term platform health.

If you are a senior data practitioner with deep experience across Tableau, LookML, BigQuery, Snowflake, and modern semantic modeling, we encourage you to apply for this exciting opportunity.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.