Publié avant-hier
Senior Analytics Engineer
@ Fusemachines
Télétravail au Canada
En bref
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.
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Source et dates
Site carrière / système de candidatures · jazzhr
- Date publiée par l’employeur
- 2026-11-11
- Première détection par notre source
- 2026-11-12
- Mise à jour du dossier source
- 2026-11-13
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 5 an(s) et plus |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé), Maîtrise (préféré) |
| Domaines d’études | computer science, systems engineering, mathematics, statistics |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Fusemachines
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
On a mission to Democratize AI since 2013. Global provider of Enterprise AI Products & AI Solutions.
Description complète de l’entreprise
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.
- Abonnés LinkedIn
- 137 029
- Personnes associées sur LinkedIn
- 389
- Bureaux déclarés
- 251 West 30th Street, 5th Floor, New York, New York 10001, US
- Devkota Sadak, Baneshwor, Kathmandu, NP
- Santa Domingo, DO
- Toronto, CA
- Santiago, CL
- Catégories d’activité
- Artificial Intelligence
- Software
- Agentic AI
- Artificial Intelligence (AI)
- Big Data
- Machine Learning
- Autres noms enregistrés
- Fusemachines
- Spécialités
- 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
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 12 374 999
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
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…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 201-500 employees |
| Siège social | New York, New York |
| Type d’organisation | Privately Held |
| Fondée en | 2013 |
| Spécialités | Artificial IntelligenceMachine LearningSoftwareServicesEducationNatural Language ProcessingBig DataData AnalyticsData ScienceEngineering |
| Offres sur Jobsy | 2 |
| Voir la 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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