Rhino Federated Computing · 1 day ago
Senior Analytics Engineer
Boston, MA
Full-time
Onsite
Senior Level
5+ years expRhino Federated Computing is a company focused on solving challenges in AI through federated computing. They are seeking a Senior Analytics Engineer to architect and evolve their core analytics data infrastructure, ensuring high-quality data is available for decision-making across various teams.
Artificial Intelligence (AI)Cloud ComputingDeveloper PlatformInformation TechnologyPrivacySoftware
Responsibilities
Architect and maintain Rhino’s central analytics data warehouse data models, ensuring they are scalable, performant, well-documented, and aligned with business logic
Build and own a consistent metrics layer (semantic layer / metrics catalog) to standardize KPIs across the company and reduce ambiguity in reporting
Develop governed, reusable fact and dimension models supporting product usage analytics, platform health analytics, and operational analytics
Design and maintain robust Python/SQL pipelines to ingest, clean, transform, and integrate data from sources such as HubSpot, Jira Service Desk, platform logs/metrics, internal databases, and third-party systems
Build CI/CD-ready analytics pipelines with monitoring, tests, and data quality alerts
Partner closely with Engineering to align data definitions, schemas, and event instrumentation
Build and maintain the insights/semantic layer that powers dashboards, self-service exploration, and automated insights
Create intuitive self-service tools (Looker dashboards, data marts) that help teams easily navigate trusted data
Document models and metrics clearly to support cross-team accessibility and adoption
Work with Commercial, Customer Solutions and Delivery, Product, and Operations leadership to translate business questions into data models and metric definitions, not just dashboards
Serve as the analytics 'product manager' for the analytics stack—gather requirements, prioritize improvements, and ensure alignment with strategic needs
Close the loop with engineering and product teams to ensure event data, platform telemetry, and operational data are modeled accurately and consistently
Leverage LLMs and generative AI to build question-answering capabilities on top of structured data models
Build structured embedding-friendly data layers that support semantic search and automated insights
Explore opportunities to accelerate analysis through AI-assisted workflows and toolchains
Qualification
Required
5+ years in Analytics Engineering, Data Engineering, Business Intelligence, or related roles, with a strong focus on building data models and governed metrics
Expert SQL and Python skills, including experience designing production-grade data transformations and pipelines
Strong experience with enterprise data warehouses (BigQuery preferred), analytics modeling tools and BI platforms (Looker preferred), and workflow orchestration tools (Airflow or similar)
Demonstrated ability to design clean, scalable, well-documented data models and metrics
Deep attention to detail regarding data accuracy, definitions, lineage, and quality
Strong cross-functional collaboration and ability to translate business logic into technical data structures
Preferred
Experience building or scaling analytics engineering foundations in a startup environment
Familiarity with GTM analytics, product usage analytics, and operational KPIs
Experience with BigQuery, Looker, Vertex AI, Grafana, Streamlit, or similar modern analytics infrastructure
Prior experience with applying LLMs to analytics workflows (semantic layers, insights automation, data Q&A systems)
Company
Rhino Federated Computing
The revolutionary platform for decentralized AI collaborations - unlock data silos without data sharing.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$31.05MKey Investors
AlleyCorpTELUS Global VenturesEuropean Network of AI Excellence Centres
2025-05-22Series A· $15M
2024-10-31Series Unknown
2023-10-19Grant
Leadership Team
Ittai Dayan
Co-Founder & CEO
Yuval Baror
Co-Founder & CTO
Recent News
2025-11-10
Mugglehead Investment Magazine
2025-10-04
Drug Discovery and Development
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