Senior Data Analyst – Customer Data Platforms (CDP)

Delta Computer Consulting, Inc.

Los Angeles (CA)

Vor Ort

USD 154.732.000 - 174.790.000

Vollzeit

vor 22 Stunden
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Benefits dieser Stelle

Health insurance
Vision
Dental
Life Insurance
401k
Continuing and on-demand education

Zusammenfassung

Delta Computer Consulting, Inc. is seeking a Senior Data Analyst / CDP Developer to support enterprise CDP operations, improve data quality, and deliver scalable data solutions across large customer and event datasets.

This role blends advanced SQL development, CDP integration, workflow orchestration, and production data troubleshooting. The ideal candidate brings strong expertise in customer data platforms, advanced SQL engineering, Python automation, and cloud data environments, along with

Qualifikationen

  • Bachelor’s degree in Data Science, Computer Science, Engineering, or related field.
  • 8+ years combined experience in data analysis, data engineering, or data operations.
  • Advanced SQL development and query optimization (Presto, Hive, NoSQL environments).
  • Experience working with Customer Data Platforms and CRM data integrations.
  • Strong Python experience for data automation and APIs.
  • Cloud data platform familiarity (AWS preferred).
  • Experience with workflow orchestration tools (Digdag, TD Workflows, or similar).
  • Experience with data quality frameworks, monitoring, and alerting.
  • Strong communication and cross-functional collaboration skills.

Aufgaben

  • Analyze customer data, event streams, and large-scale datasets to generate insights.
  • Develop and optimize advanced SQL queries across Presto, Hive, and NoSQL environments.
  • Use Python for data processing, automation, API integrations, and workflow support.
  • Perform exploratory data analysis and anomaly detection.
  • Document data processes, business rules, and workflows.
  • Support CDP workflow orchestration (Digdag, TD Workflows, or similar tools).
  • Monitor and enhance data quality frameworks and observability pipelines.
  • Maintain CI/CD and Git-based version control for data code and documentation.
  • Support end-to-end data lifecycle from ingestion to activation.

Kenntnisse

SQL development
Python automation
CDP operations
Data governance
Cloud data environments
Workflow orchestration
Data quality
Data analysis
Communications
Cross-functional collaboration

Ausbildung

Bachelor’s degree in Data Science, Computer Science, Engineering, or related field

Tools

Presto
Hive
NoSQL
Digdag
TD Workflows
Git
CI/CD
Treasure Data CDP

Jobbeschreibung

Pay Range: $54.00 – $61.00 per hour (based on experience and internal equity)

Schedule: Full-time, contract; long-term opportunity

Benefits: Health, Vision, Dental, Life Insurance, 401k, Continuing and on-demand education

Must be willing to work onsite in Torrance, CA (LA County)

Sponsorship is available for this role

Position Summary

We are seeking a Senior Data Analyst / CDP Developer to support enterprise Customer Data Platform (CDP) operations, improve data quality, and deliver scalable data solutions across large customer and event datasets. This role blends advanced SQL development, CDP integration, workflow orchestration, and production data troubleshooting.

The ideal candidate brings strong expertise in customer data platforms, advanced SQL engineering, Python automation, and cloud data environments, along with experience supporting production data pipelines and customer data privacy requirements.

Key Responsibilities
Data Analysis & Development
  • Analyze customer data, event streams, and large-scale datasets to generate insights
  • Develop and optimize advanced SQL queries across Presto, Hive, and NoSQL environments
  • Use Python for data processing, automation, API integrations, and workflow support
  • Perform exploratory data analysis and anomaly detection
  • Document data processes, business rules, and workflows
CDP & Pipeline Operations
  • Support CDP workflow orchestration (Digdag, TD Workflows, or similar tools)
  • Monitor and enhance data quality frameworks and observability pipelines
  • Maintain CI/CD and Git-based version control for data code and documentation
  • Support end-to-end data lifecycle from ingestion to activation
Troubleshooting & Production Support
  • Diagnose data pipeline failures and workflow issues
  • Perform root cause analysis using logs and monitoring tools
  • Support production job monitoring, data validation, and output verification
  • Implement fixes and reliability improvements
Data Governance & Compliance
  • Ensure adherence to privacy and compliance standards (GDPR, CCPA, PII handling)
  • Support identity resolution, schema design, and profile unification
What You’ll Be Working On
  • Customer Data Platform integrations and pipeline operations
  • Large-scale customer and event data processing
  • Data quality, automation, and workflow optimization
  • Cross-functional data solutions supporting CRM, marketing, and analytics teams
Required Skills & Experience
  • Bachelor’s degree in Data Science, Computer Science, Engineering, or related field
  • 8+ years combined experience in data analysis, data engineering, or data operations
  • Advanced SQL development and query optimization (Presto, Hive, NoSQL environments)
  • Experience working with Customer Data Platforms and CRM data integrations
  • Strong Python experience for data automation and APIs
  • Cloud data platform familiarity (AWS preferred)
  • Experience with workflow orchestration tools (Digdag, TD Workflows, or similar)
  • Experience with data quality frameworks, monitoring, and alerting
  • Strong communication and cross-functional collaboration skills
Preferred Skills
  • Experience with Treasure Data CDP or similar platforms (Informatica, Adobe, Salesforce CDP, Tealium, mParticle)
  • Experience with data modeling, identity resolution, and profile unification
  • Experience with CI/CD and Git-based workflows
  • Strong privacy and compliance experience (GDPR, CCPA, PII handling)
  • 3+ years of Big 4 consulting experience (preferred)
  • Stable work history within large enterprise organizations
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