Posted 2 days ago
Senior Analytics Engineer
@ Fusemachines
Remote in Canada
Overview
Fusemachines is hiring a remote contract Senior Analytics Engineer to modernize legacy business intelligence environments. The work involves reverse-engineering Tableau dashboards and rebuilding them as SQL and LookML semantic models on BigQuery and Snowflake. The posting states a remote, contracted arrangement but no pay or hours.
Responsibilities:
- Audit legacy Tableau workbooks and document business logic
- Rebuild metrics as dbt and SQL models on BigQuery and Snowflake
- Build and maintain LookML semantic models and Explores
- Validate new metrics against legacy reports
- Define canonical KPIs with stakeholders
Requirements summary:
- 5+ years in data analytics or BI
- 4+ years hands-on Tableau experience
- LookML and Looker semantic modeling experience
- BigQuery or Snowflake cloud warehouse experience
- Quantitative bachelor's or master's degree
Tools & skills
Source and dates
Employer career site / ATS feed · jazzhr
- Employer posting date
- 2026-11-11
- First seen by our source
- 2026-11-12
- Source record updated
- 2026-11-13
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Experience | 5+ years |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (preferred) |
| Fields of study | computer science, systems engineering, mathematics, statistics |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Fusemachines
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
On a mission to Democratize AI since 2013. Global provider of Enterprise AI Products & AI Solutions.
Full company description
A 10+ year old AI company offering cutting-edge AI products and solutions across industries. With over a decade of experience, we help companies in their AI Transformation journey with our suite of enterprise AI Products and AI Solutions supported by our global AI Talent from underserved communities. On a mission to #DemocratizeAI, we aim to bridge the gap between AI advancement and global impact, bringing the most advanced technology solutions to the world.
- LinkedIn followers
- 137,029
- People associated on LinkedIn
- 389
- Reported office locations
- 251 West 30th Street, 5th Floor, New York, New York 10001, US
- Devkota Sadak, Baneshwor, Kathmandu, NP
- Santa Domingo, DO
- Toronto, CA
- Santiago, CL
- Business categories
- Artificial Intelligence
- Software
- Agentic AI
- Artificial Intelligence (AI)
- Big Data
- Machine Learning
- Other recorded names
- Fusemachines
- Specialties
- Artificial Intelligence
- Machine Learning
- Software
- Services
- Education
- Natural Language Processing
- Big Data
- Data Analytics
- Data Science
- Engineering
- Sales Automation
- Lead Generation
- SaaS
- AI Talent
- AI Bespoke Solutions
- AI Bespoke Products
- AI Corporate Education
- AI Programs for Governments & Communities
- and AI Engines
- Profile identifies a recruitment agency
- No
- Reported total investment
- 12,374,999
Currency and observation date were not supplied; this is not a current valuation or a funding round.
A 10+ year old AI company offering cutting-edge AI products and solutions across industries. With over a decade of experience, we help companies in their AI Transformation journey with our suite of enterprise AI Products and AI Solutions supported by our global AI Talent from underserved communities. On a mission to #DemocratizeAI, we aim to bridge the gap between AI advancement and global impact, bringing the most…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 201-500 employees |
| Headquarters | New York, New York |
| Organization type | Privately Held |
| Year founded | 2013 |
| Specialties | Artificial IntelligenceMachine LearningSoftwareServicesEducationNatural Language ProcessingBig DataData AnalyticsData ScienceEngineering |
| Open jobs on Jobsy | 2 |
| View page |
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 (Nepal, United States, Canada, and Dominican Republic 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.
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