We are looking for a Data Analyst / CDP Developer to join a great organization in Southern California. This Long-term Contract position focuses on transforming customer data into reliable insights, strengthening platform performance, and supporting data-driven decisions across cross-functional teams. The role is ideal for someone who combines strong analytical thinking with hands-on development skills in SQL, Python, and cloud-based data environments. You will work onsite four days per week while partnering with technical and business stakeholders to improve data quality, workflow stability, and reporting accuracy.

Responsibilities:

• Examine customer event data and other high-volume datasets to uncover trends, confirm data integrity, and support informed business decisions.
• Develop, refine, and maintain complex queries across distributed data platforms such as Presto, Hive, and NoSQL environments.
• Use Python to streamline data processing, automate recurring tasks, and support platform integrations and operational workflows.
• Partner with engineering, analytics, marketing, and subject matter experts to gather requirements, validate outputs, and align solutions with business needs.
• Monitor and manage scheduled pipelines and workflow orchestration processes, resolving failures and improving overall job reliability.
• Perform investigative analysis to identify anomalies, test assumptions, and troubleshoot issues affecting data ingestion, transformation, and delivery.
• Strengthen data quality practices by implementing validation checks, alerts, and monitoring approaches that improve observability in production environments.
• Create clear documentation for data logic, business rules, workflows, issue resolution, and preventive actions using Confluence or similar tools.
• Apply version control and CI/CD standards to data scripts and related assets while helping maintain consistent development best practices.
• Ensure data handling activities follow privacy, compliance, and governance expectations when working with customer-level and production information.