Data Analyst / CDP Developer

UNICON International Inc.; Torrance (CA); On-site; USD 110,000 - 115,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k)

Other standard benefits

Job summary

UNICON International Inc. is seeking a Data Analyst / CDP Developer in Torrance, CA to analyze customer and event data, optimize complex SQL, and build scalable data solutions.

You will leverage Python for automation and integrations, work with CDP platforms, and partner with cross-functional teams to ensure data quality and activation. The role emphasizes end-to-end data challenges, pipeline observability, and adherence to privacy standards, with onsite work four days a week and a competitive

Qualifications

• 5+ years in data analysis, data engineering, or data operations.
• Advanced SQL and query optimization for large datasets.
• Experience with CDP platforms and CRM systems.
• Python for data processing, automation, and APIs.
• Experience with cloud environments (AWS, GCP, Azure).
• Knowledge of data modeling, schema design, and identity resolution.
• Familiarity documenting processes in Confluence or similar.
• Strong cross-functional collaboration and communication.

Responsibilities

• Analyze customer data and large datasets to generate insights and support decisions.
• Write, optimize, and maintain complex SQL across Presto, Hive, NoSQL.
• Support data processing, automation, and API integrations with Python.
• Work in cloud platforms (primarily AWS) applying data-architecture principles.
• Validate data quality, diagnose issues, and monitor pipelines.
• Document business rules, transformations, and workflows in Confluence.
• Collaborate with engineering, analytics, marketing, CRM teams and SMEs.
• Operate CDP workflow tools (Digdag, TD Workflows) for pipelines.
• Ensure privacy/compliance standards (GDPR, CCPA, PII) are followed.
• Improve automation, reliability, and system performance end-to-end.

Skills

Advanced SQL

Python

CDP platforms

AWS cloud

Data quality

CI/CD

SQL optimization

Data modeling

Confluence doc

CRM systems

Tools

Treasure Data CDP

Digdag

TD Workflows

Git

Confluence

Job description

• 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.

Job Title: Data Analyst / CDP Developer

Location: Torrance, CA

Work Model: Onsite

Compensation: $110-115k per year

Work Type: Onsite (4 days/week)

Travel: No

Overtime: No

What You Will Be Doing

• 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 This Person Will Be Working On

As a Data Analyst / CDP Developer, the candidate will support the customer data platform (CDP), 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

What’s Needed

• 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 (Treausure Data Amperity, mParticle, Tealium etc).
• Experience with workflow orchestration tools (Digdag 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.

Compensation & Benefits

• Medical, dental, and vision insurance
• 401(k)
• Other standard benefits as applicable

About Unicon

UNICON is a workforce solutions provider with over 35 years of experience supporting organizations across a variety of industries. We partner with our clients to deliver skilled professionals while maintaining a strong focus on quality, compliance, and long-term relationships. UNICON is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.