Data Analyst / CDP Developer

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 SystemsHands-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, Google Cloud Platform, 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 teamsHands-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 environmentStrong 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.3+ years of big 4 consulting experience is preferredA stable work history with large enterpris