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Data Analyst - Autonomous Vehicle (AV) Operations & Infrastructure
Role: Data Analyst – AV Support Data Infrastructure & Analytics
Experience: 4–6 Years
Location: Remote / Flexible
Industry: Global Tech & Mobility Leader
About the Team & Opportunity
Our team owns the end-to-end data foundation driving autonomous vehicle (AV) support operations for one of the world's leading mobility platforms. Every operational metric, real-time rider contact, automated data-quality check, and pre-launch feature instrumentation flows through the systems we architect.
We sit directly at the intersection of AV Program Teams, Operational Analytics, and Core Data Engineering to turn complex operational data into actionable, trustworthy insights.
What You’ll Do
Redefine the Core Data Layer: Transform organically grown data environments into a deliberate, clean "gold layer." Consolidate overlapping tables, optimize upstream join logic, and establish unified canonical datasets.
Deliver Business Analytics & Insights: Partner with AV program leadership to scope ambiguous business challenges, define metrics, build dashboards, and answer high-impact operational questions.
Guide Instrumentation for New AV Products: Review Product Requirement Documents (PRDs) across launch lifecycles to ensure proper event logging and telemetry are live before new features ship.
Maintain & Govern Data Infrastructure: Monitor daily pipelines for freshness, accuracy, and volume. Build governance frameworks around SLAs, change-management workflows, and automated incident alerting.
Scale Real-Time Analytics: Expand streaming feeds (Kafka/Flink/Pinot) to lower latency and power real-time operational notifications as incidents develop.
What You’ll Need
4–6 years in Data Analytics, Business Analytics, or Data Engineering with a focus on dataset and pipeline ownership (not just query consumption).
Advanced SQL & Distributed Computing: Hands-on experience building production transformations in Spark SQL and Hive, authoring canonical patterns that other engineers build on.
Customer Support Data Expertise: Hands-on familiarity with support operations metrics (contacts, tickets, handle time, CSAT) and the nuances of handling messy, multi-grained data.
Strong Stakeholder Communication: Proven ability to scope vague business requests, push back when framing is off, and present clear takeaways to non-technical partners.
AI Tool Integration: Practical experience using AI/agentic coding platforms to accelerate pipeline, analysis, and dashboard development with high validation rigor.
Preferred Qualifications
AV / Autonomous Systems Interest: Understanding of or genuine curiosity about how autonomous trip operations and support models work.
Semantic & Metric Layers: Experience with dbt, LookML, or proprietary metric management systems.
Streaming & Real-Time Analytics: Familiarity with Kafka, Flink, Pinot, or real-time event processing.
Orchestration & Observability: Hands-on experience with Airflow and data observability tools.
Dashboarding & Apps: Proficiency with Tableau, Streamlit, Retool, or custom internal tool suites.
Anam Chaudhry
847-201-6116
achaudhry@pksi.com
Work arrangement
Yes
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