AutoRoboto
Data Analysts
Mountain View, CA
Sponsorship not specifiedDetected 1219 days ago
PythonAlgorithmsSQLCassandraSparkData AnalysisData EngineeringData ScienceData VisualizationStatisticsLogisticsRoboticsResearchProblem SolvingPublic Speaking
About the role
- AutoRoboto is seeking a Data Analyst to join our engineering team in Mountain View, CA.
- This role will work with complex product, operational, automation, robotics, and testing-related datasets to help the company evaluate operational systems and make data-driven decisions.
Responsibilities
- Collect, query, clean, validate, and structure raw data from internal systems, product and operational data sources, authorized testing workflows, automation tools, and robotics-based data collection processes for downstream analysis, reporting, and modeling.
- Perform exploratory, statistical, and operations analysis to identify trends, constraints, correlations, patterns, outliers, and drivers of key operational, product, or business metrics.
- Develop, test, and refine quantitative models, analytical algorithms, and decision-support methods using Python, SQL, and statistical/data modeling techniques.
- document assumptions, limitations, and expected operational impact.
- Collaborate with the engineering team to support analytical prototypes, define data requirements, validate feature logic, test model outputs, and assist with production-ready analytical, automation, and data collection workflows.
- Build reports, dashboards, charts, and visualizations to communicate findings clearly to engineering, product, operations, and business teams.
- Evaluate model performance and alternative operational approaches using appropriate quantitative metrics; document assumptions, limitations, and expected operational impact.
Requirements
- Bachelor's degree, or foreign equivalent, in Operations Research, Statistics, Mathematics, Computer Science, Data Science, Engineering, Business Analytics, or a closely related quantitative field.
- Experience using Python and SQL to query, clean, transform, analyze, and model data.
- Knowledge of statistical analysis, operations analysis, data modeling, data quality assessment, exploratory data analysis, and quantitative problem-solving methods.
- Experience creating reports, dashboards, charts, or visualizations using Tableau or similar business intelligence / visualization tools.
- Ability to communicate technical findings, operational tradeoffs, and recommendations clearly to both technical and non-technical stakeholders.
- The ideal candidate has a strong quantitative background, programming experience, and the ability to translate complex operational data into clear, actionable insights for technical and business stakeholders.
- 2 years of experience in quantitative analytics, operations analysis, data analysis, data modeling, business analytics, product analytics, or a related analytical role. Additional related experience is preferred but not required.
- Strong attention to detail, analytical judgment, and problem-solving ability.
Nice to have
- Experience or familiarity with big data or distributed data tools such as Spark, Hadoop, Cassandra, or similar technologies.
- Experience working with engineering teams on data pipelines, analytical prototypes, model validation, automation workflows, robotics workflows, or production data workflows.
- Experience analyzing product, operational, SaaS, automation, robotics, logistics, authorized penetration-testing, or security-assessment datasets.
- 2 years of experience in quantitative analytics, operations analysis, data analysis, data modeling, business analytics, product analytics, or a related analytical role.
- Additional related experience is preferred but not required.
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This listing is sourced directly from AutoRoboto's careers page and normalized into a canonical job model.