Data Analyst / CDP Developer
<p>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.</p><p><br></p><p>Responsibilities:</p><p>• Examine customer event data and other high-volume datasets to uncover trends, confirm data integrity, and support informed business decisions.</p><p>• Develop, refine, and maintain complex queries across distributed data platforms such as Presto, Hive, and NoSQL environments.</p><p>• Use Python to streamline data processing, automate recurring tasks, and support platform integrations and operational workflows.</p><p>• Partner with engineering, analytics, marketing, and subject matter experts to gather requirements, validate outputs, and align solutions with business needs.</p><p>• Monitor and manage scheduled pipelines and workflow orchestration processes, resolving failures and improving overall job reliability.</p><p>• Perform investigative analysis to identify anomalies, test assumptions, and troubleshoot issues affecting data ingestion, transformation, and delivery.</p><p>• Strengthen data quality practices by implementing validation checks, alerts, and monitoring approaches that improve observability in production environments.</p><p>• Create clear documentation for data logic, business rules, workflows, issue resolution, and preventive actions using Confluence or similar tools.</p><p>• Apply version control and CI/CD standards to data scripts and related assets while helping maintain consistent development best practices.</p><p>• Ensure data handling activities follow privacy, compliance, and governance expectations when working with customer-level and production information.</p>
• Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field.<br>• Advanced experience writing and optimizing SQL for large-scale data analysis across modern data platforms.<br>• Strong Python skills for automation, data processing, and workflow support.<br>• Hands-on experience with cloud technologies and an understanding of data architecture principles in cloud environments.<br>• Proven ability to troubleshoot pipeline issues, investigate root causes, and support stable production operations.<br>• Experience with workflow orchestration, monitoring tools, and maintaining data process documentation.<br>• Strong communication skills with the ability to explain technical findings to both technical and non-technical stakeholders.<br>• High attention to detail when working with sensitive customer data, data quality controls, and compliance-focused processes.
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- Burbank, CA
- onsite
- Temporary / Contract
-
50 - 55 USD / Hourly
- <p>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.</p><p><br></p><p>Responsibilities:</p><p>• Examine customer event data and other high-volume datasets to uncover trends, confirm data integrity, and support informed business decisions.</p><p>• Develop, refine, and maintain complex queries across distributed data platforms such as Presto, Hive, and NoSQL environments.</p><p>• Use Python to streamline data processing, automate recurring tasks, and support platform integrations and operational workflows.</p><p>• Partner with engineering, analytics, marketing, and subject matter experts to gather requirements, validate outputs, and align solutions with business needs.</p><p>• Monitor and manage scheduled pipelines and workflow orchestration processes, resolving failures and improving overall job reliability.</p><p>• Perform investigative analysis to identify anomalies, test assumptions, and troubleshoot issues affecting data ingestion, transformation, and delivery.</p><p>• Strengthen data quality practices by implementing validation checks, alerts, and monitoring approaches that improve observability in production environments.</p><p>• Create clear documentation for data logic, business rules, workflows, issue resolution, and preventive actions using Confluence or similar tools.</p><p>• Apply version control and CI/CD standards to data scripts and related assets while helping maintain consistent development best practices.</p><p>• Ensure data handling activities follow privacy, compliance, and governance expectations when working with customer-level and production information.</p>
- 2026-08-25T00:00:00Z