Staff/Senior Analytics Engineer, Data Science & Analytics

Simbe Robotics

. Own production pipelines end-to-end, including design, development, monitoring, alerting, and iterative improvement .

Posted 9/15/2026full-timeBurlingame • California • United StatesSenior💰 $130,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics engineering with a focus on end-to-end production pipelines, data transformation using dbt, and the application of AI tools for enhanced analysis. Proven ability to translate retail data into actionable business insights while ensuring high standards of code quality and documentation.

Highest-signal resume keywords

Analytics EngineeringDbt Data TransformationKimball Dimensional ModelingSQL ProficiencyRetail Industry Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringDbtSQLData TransformationKimball Dimensional ModelingAI ToolsLLM APIsPipeline OrchestrationData VisualizationCI/CD

Soft Skills

Cross-Functional CollaborationStakeholder AlignmentProblem Solving

Tools & Technologies

GCPBigQueryAirflowLookerTableau

Industry Keywords

Retail DataConversational AIChatbot InterfacesProduction FeaturesAnalytical Models

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoogle Cloud PlatformSQLTableau

About the role

Key responsibilities & impact

Own production pipelines end-to-end, including design, development, monitoring, alerting, and iterative improvement
Scope and deliver analytical features by shaping raw data into analytical models using Kimball Dimensional modeling with dbt
Drive cross-functional delivery by identifying blockers, aligning stakeholders, and moving projects forward
Use LLMs, agents, and other AI-assisted workflows to accelerate analysis and development
Translate retail data, including inventory, on-shelf availability, and task execution signals, into business outcomes
Establish best practices for reproducibility, documentation, and code quality
Design and prototype conversational AI agent or chatbot interfaces for querying retail data through natural language

Requirements

What you’ll need

5+ years of experience in analytics engineering or a closely related role, with demonstrable delivery of production features
Experience with dbt for data transformation and Kimball Dimensional modeling, including writing models, tests, and documentation
Solid SQL skills
Experience with large-scale cloud data platforms, with GCP/BigQuery preferred
Experience owning the full lifecycle of analytics features: scoping, building, shipping, and maintaining
Proven ability to work across functions and drive alignment
Retail industry experience strongly preferred
Hands-on experience using AI tools, including LLM APIs, coding assistants, and prompt engineering
Familiarity with pipeline orchestration such as Airflow, model monitoring, and CI/CD for analytical workflows preferred
Experience with data visualization tools such as Looker or Tableau preferred

Benefits

Comp & perks

Equity compensation may be included in the total compensation package
Full range of medical, financial, and/or other benefits
Ownership through equity
Well-being support