Data Analyst / CDP Developer
The Data Analyst / CDP Developer at Confidential Client is responsible for analyzing large-scale customer and event data, developing and optimizing complex SQL queries, and supporting data processing automation using Python within cloud environments, primarily AWS. This role involves managing and troubleshooting customer data platform workflows, ensuring data quality and compliance, and collaborating cross-functionally to deliver end-to-end data solutions that drive business insights and operational reliability.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Motor Vehicle Manufacturing.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
- Analyze customer, event, and large-scale datasets to generate business insights, validate data quality, and support decision-making.
- Design, write, optimize, and maintain advanced SQL queries across Presto, Hive, and NoSQL systems for high-volume data sets.
- Use Python for data processing, automation, ETL tasks, API integrations, and workflow scripting.
- Operate and improve CDP (Customer Data Platform) integrations and activation flows to unify customer profiles.
- Manage CDP workflow orchestration tools (e.g., Digdag, Treasure Data Workflows) to schedule and monitor pipelines.
- Implement and maintain data quality checks, monitoring, alerts, and pipeline observability.
- Work in cloud environments (primarily AWS) applying cloud data-architecture best practices (S3, IAM, data storage).
- Perform exploratory data analysis, identify anomalies, and validate analytical assumptions.
- Troubleshoot data ingestion and pipeline failures; perform root-cause analysis using logs and metadata.
- Follow CI/CD and Git-based version-control best practices for SQL, scripts, and documentation.
- Document data processes, business rules, transformation logic, and runbooks in Confluence or similar tools.
- Communicate technical findings clearly to technical and non-technical stakeholders and partner with SMEs to refine requirements.
- Proactively improve automation, reliability, and performance of data workflows and CDP operations.
Qualifications
- Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field.
- 5+ years combined experience in data analysis, data engineering, or data operations.
- Advanced SQL skills (complex joins, window functions, CTEs, query optimization) with experience on Presto/Hive/NoSQL.
- Proficiency in Python for data pipelines, automation, and API work.
- Hands-on experience with Customer Data Platforms (Treasure Data, Amperity, mParticle, Tealium, or similar) and CRM integrations.
- Experience with workflow orchestration tools (e.g., Digdag, Treasure Data Workflows).
- Familiarity with cloud platforms (AWS preferred; GCP/Azure acceptable) and related storage/security concepts.
- Experience with data quality frameworks, monitoring/alerting, and pipeline observability.
- Experience supporting production environments and owning incident response for data pipelines.
- Strong problem-solving skills, attention to detail, and ability to deliver end-to-end data solutions.
- Excellent communication and cross-functional collaboration skills.
- Knowledge of privacy and compliance standards (GDPR, CCPA, PII handling).
- Experience with CI/CD and Git-based version control.
Compensation & Benefits
- Base salary: $110,000 - $115,000 per year (contract).
- Medical, dental, and vision insurance (as applicable).
- 401(k) (as applicable).
- Other standard contractor benefits as applicable.
Work Model & Employment Type
- Employment type: Contractor.
- Work model: Onsite — typically 4 days/week (Torrance, CA).
- Travel: None required.
- Overtime: Not expected.
About the Client
Confidential Client (via Careertakes) is hiring for a CDP-focused data analyst / CDP developer to support customer data unification, quality, and activation. The role sits within a cross-functional environment and will partner with engineering, analytics, marketing/CRM teams, and subject-matter experts to deliver reliable, scalable data solutions.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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