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We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Southern California. In this role, you will take charge of analyzing complex datasets to derive actionable insights and support critical business decisions within the automotive industry. You will collaborate across teams to ensure data accuracy and streamline workflows while leveraging your expertise in advanced analytics and cloud-based platforms. As a Data Analyst / CDP Developer, the candidate will support the customer data platform, improve data quality, implement scalable data solutions, and address end‑to‑end data challenges.
Job Responsibility:
Analyze large-scale datasets to uncover trends, validate data quality, and provide insights that drive business strategies
Develop and optimize advanced queries using tools like Presto, Hive, and NoSQL to support data operations
Utilize Python for data processing, automation, and workflow development to enhance system functionality
Apply cloud data architecture principles within platforms such as AWS to improve data management
Conduct exploratory data analysis to identify anomalies, validate assumptions, and meet stakeholder needs
Document data processes, workflows, and business rules in platforms such as Confluence to ensure clarity and consistency
Collaborate with cross-functional teams, including engineering, marketing, and subject matter experts, to define and refine data requirements
Operate workflow orchestration tools like Digdag and TD Workflows to manage data pipelines and scheduled tasks
Implement and monitor data quality frameworks to ensure reliable data validation and system observability
Adhere to compliance and privacy standards while maintaining best practices for version control and CI/CD processes
Analyze customer data, event, and large-scale datasets to generate insights, validate data quality, and support business decision-making
Write, optimize, and maintain advanced SQL queries across Presto, Hive, and NoSQL systems
Use Python to support data processing, automation, workflow operations, and API integrations
Work within cloud platforms (primarily AWS) and apply general cloud data architecture principles
Perform exploratory data analysis to validate assumptions, identify anomalies, and support stakeholder requirements
Document data processes, business rules, logic, and workflows in Confluence or similar platforms
Collaborate with engineering, analytics, marketing, CRM teams, and SMEs to define data requirements and ensure accuracy
Operate CDP workflow orchestration tools (e.g., Digdag, TD Workflows) to manage pipelines and scheduled jobs
Enhance and monitor data quality frameworks including validation checks, alerts, and pipeline observability
Follow CI/CD and Git-based version control best practices for SQL, scripts, and documentation
Ensure adherence to privacy and compliance standards (GDPR, CCPA, PII)
Solve end-to-end data challenges—from ingestion through transformation to analysis and activation
Maintain rigorous attention to detail, especially with customer-level and production data
Proactively improve automation, data quality, workflow reliability, and system performance
Communicate insights and technical concepts clearly to both technical and non-technical audiences
Partner with SMEs to understand business context, refine requirements, and validate solution accuracy
Requirements:
Advanced SQL development
CDP integration
Pipeline operations
Troubleshooting across large-scale datasets
Highly analytical
Detail-oriented
Experience with Presto, Hive, and NoSQL
Proficiency in Python for data processing, automation, and workflow development
Knowledge of cloud data architecture principles (AWS)
Experience with workflow orchestration tools like Digdag and TD Workflows
Understanding of data quality frameworks
Familiarity with CI/CD and Git-based version control best practices
Knowledge of privacy and compliance standards (GDPR, CCPA, PII)
Ability to solve end-to-end data challenges
Ability to communicate insights to technical and non-technical audiences
What we offer:
Medical, vision, dental, and life and disability insurance