What are the responsibilities and job description for the Data Analyst / CDP Developer ( 4127 ) position at Jobs via Dice?
Location: Torrance, CA (Hybrid)
Type: Multi-year contract (no end date)
Employment: W2 only
Summary
A client of Sharp Decisions is seeking a Data Analyst for a long-term hybrid engagement in Torrance, CA. This individual will analyze large-scale customer and event datasets to generate insights, validate data quality, and support business decision-making across engineering, analytics, marketing, and CRM teams.
Daily Responsibilities
Type: Multi-year contract (no end date)
Employment: W2 only
Summary
A client of Sharp Decisions is seeking a Data Analyst for a long-term hybrid engagement in Torrance, CA. This individual will analyze large-scale customer and event datasets to generate insights, validate data quality, and support business decision-making across engineering, analytics, marketing, and CRM teams.
Daily Responsibilities
- Analyze customer data, event data, 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 subject matter experts to define data requirements and ensure accuracy.
- Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field.
- 5 years of combined experience across data analysis, data engineering, or data operations.
- Advanced SQL skills and query optimization expertise across Presto, Hive, and NoSQL systems, including writing complex queries for large-scale datasets.
- Experience with Customer Data Platforms (CDP) and CRM systems, including hands-on experience integrating and managing CDP solutions to unify and activate customer data.