Senior Analytics Consultant: Autonomous Mobility Insights

Fractal

San Jose (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Fractal is seeking an experienced Senior Analytics Consultant to drive high-impact operational strategy for a premier leader in autonomous mobility and robotics. This role owns end-to-end analytical scoping, data discovery, pipeline engineering, and solution design for large-scale product and physical infrastructure datasets.

You will partner with the client’s infrastructure and operations teams to analyze risk factors, optimize asset uptime, and maximize the utilization of cutting-edge power

Qualifications

  • 8+ years in Analytics Consulting, Data Engineering, or Product Analytics.
  • Advanced SQL and production pipeline experience (dbt, Airflow, SQL transformations, GCP).
  • Experience with messy, decentralized datasets (telemetry, logs, geospatial data).
  • Strong consultative, stakeholder mgmt, and technical communication skills.

Responsibilities

  • Translate ambiguous business questions into technical specs, analytical user stories, and data schemas.
  • Locate, extract, and unify internal data assets; build/modify ETL/ELT pipelines.
  • Design dashboards, diagnostic suites, and data models for exec/operational decision-making.
  • Define QA standards, ensure data lineage, and guide offshore data science execution.
  • Influence cross-functional teams and senior leadership to drive action.
  • Think strategically to move from data to insights to actionable recommendations.

Skills

SQL proficiency
Data pipelines
Stakeholder management
Technical communication
Problem framing

Education

Quantitative degree (Bachelor's/Master's/PhD)

Tools

dbt
Airflow
GCP

Job description

Fractal is seeking an experienced Senior Analytics Consultant to drive high-impact operational strategy for a premier leader in autonomous mobility and robotics. This role owns end-to-end analytical scoping, data discovery, pipeline engineering, and solution design for large-scale product and physical infrastructure datasets.

You will partner with the client’s infrastructure and operations teams to analyze risk factors, optimize asset uptime, and maximize the utilization of cutting-edge power

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