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Data Analyst / CDP Developer
Data Analyst / CDP DeveloperIntelliswift - An LTTS Company • Torrance, CA, US
Data Analyst / CDP Developer

Data Analyst / CDP Developer

Intelliswift - An LTTS Company • Torrance, CA, US
22 hours ago
Job type
  • Full-time
Job description

Job Description

  • Data Analysis and Development
  • 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
  • Troubleshooting & Support
  • Diagnose and resolve data pipeline failures, ingestion issues, and workflow errors in a timely manner.
  • Perform root-cause analysis using logs, pipeline metadata, and system monitoring tools.
  • Support production environments by monitoring scheduled jobs, validating outputs, and ensuring data accuracy and availability.
  • Implement fixes, patches, and process improvements to prevent recurring problems.
  • Maintain clear documentation of issues, resolutions, and preventive actions to strengthen operational reliability.

What will this person be working on

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. This role requires advanced SQL development, CDP integration, pipeline operations, and troubleshooting across large-scale datasets. The ideal candidate is highly analytical, detail-oriented, and thrives in a fast-paced, cross-functional environment

Requirements

  • Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field.
  • 5+ of combined experience across data analysis, data engineering, or data operations.
  • Advanced SQL and Query Optimization (Presto, Hive, NoSQL)
  • Expertise in writing complex SQL queries optimizing them for large-scale datasets.
  • Experience with Customer Data Platforms (CDP) and CRM Systems
  • Hands-on experience integrating and managing CDP solutions and CRM platforms to unify and activate customer data.
  • Strong SQL expertise, including complex joins, window functions, CTEs, performance optimization.
  • Proficiency with Python for data processing, automation, and APIs.
  • Experience working with customer data, event data, and large-scale datasets.
  • Familiarity with cloud environments such as AWS, GCP, or Azure (S3, IAM, data storage concepts).
  • Ability to perform exploratory analysis, validate data quality, and present insights to stakeholders.
  • Understanding of data modeling, schema design, identity resolution, and profile unification.
  • Comfortable documenting processes, transformations, and analytical logic in Confluence or similar platforms.
  • Strong communication skills and the ability to work with cross-functional teams
  • Hands-on experience with Treasure Data CDP or similar CDPs (Informatica, Adobe, Salesforce, mParticle, Tealium).
  • Experience with workflow orchestration tools (Digdag, TD Workflows).
  • Experience with data quality frameworks, monitoring, alerting, and pipeline observability.
  • Experience with CI / CD, Git, and version control best practices.
  • Understanding of privacy and compliance (GDPR, CCPA, PII handling).
  • Provide support to production environment
  • Strong problem-solving skills and the ability to deliver end-to-end solutions—from data ingestion to analysis.
  • Excellent attention to detail, especially when working with customer-level and production data.
  • Proactive mindset for improving data quality, automation, and system reliability.
  • Ability to collaborate closely with Subject Matter Experts (SMEs) to understand domain context, validate requirements, and ensure the accuracy and alignment of data solutions.
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    Data Analyst CDP Developer • Torrance, CA, US

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