Associate Analytics Engineer

SoftBank Robotics America

full-time

Posted on: 8/22/2025

Origin: • 🇺🇸 United States • California

✨ AI Apply

JuniorMid-Level

AirflowAWSAzureCloudETLGoogle Cloud PlatformJavaScriptPythonSQL

About the role

Clean, normalize, and QA incoming datasets to ensure integrity, usability, and consistency across systems.
Design, maintain, and optimize SQL queries, views, and data pipelines for analytics and model inputs.
Contribute to the evolution of our data model to better support reporting, analytics, and AI applications.
Partner with the PM and engineering team to identify high-value opportunities for AI/ML integration.
Build business intelligence reports and insights leveraging Sigma.
Build and test lightweight models, agents, or prototypes that demonstrate potential AI applications.
Develop pipelines that make data more “AI-ready” (structured, labeled, and enriched).
Create clear, reliable documentation for data sources, transformations, and model-ready datasets.
Proactively identify gaps in data quality, structure, or process, and drive improvements.

2–3 years of professional experience in data analytics, data engineering, or a similar role.
Strong proficiency in SQL (joins, CTEs, window functions, optimization) in Snowflake.
Experience with ETL/ELT pipelines and data transformation tools (e.g., dbt, Airflow, Fivetran) and Snowflake orchestration (tasks, streams, dynamic tables, Snowpipe).
Familiarity with data modeling concepts (star schema, normalization, dimensional modeling).
Exposure to Python (or R) for scripting, data manipulation, REST/JSON API ingestion and light ML/AI tasks.
Understanding of cloud data environments (AWS, GCP, or Azure) and cloud object storage (S3).
Growth mindset, and an eagerness to learn every day.
Excellent problem-solving skills, with a focus on data integrity and AI-readiness.
Strong communicator, comfortable collaborating with product and engineering teams.