Intelliswift - An LTTS Company · 4 days ago
Data Analyst / CDP Developer
Torrance, CA
Contract
Onsite
Senior Level
5+ years expIntelliswift, an LTTS Company, is seeking a Data Analyst / CDP Developer to support their customer data platform. The role involves improving data quality, implementing scalable data solutions, and addressing end-to-end data challenges through advanced SQL development, CDP integration, and troubleshooting across large-scale datasets.
Cloud ComputingEnterprise SoftwareBig DataInformation TechnologyBusiness IntelligenceCloud Management
Hiring Manager
Basant Sharma
Responsibilities
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
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
Qualification
Required
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
Company
Intelliswift - An LTTS Company
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions
1001-5000 employees
H1B Sponsorship
Intelliswift - An LTTS Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (29)
2024 (35)
2023 (44)
2022 (27)
2021 (38)
2020 (37)
Funding
Current Stage
Late StageTotal Funding
unknown2024-11-11Acquired
Leadership Team
Pat Patel
Founder & Executive Chairman
Recent News
Business Standard India
2024-11-12
2024-04-08
Company data provided by crunchbase