What are the responsibilities and job description for the Data Analyst / CDP Developer ( 4127 ) position at Sharp Decisions?
A client of Sharp Decisions if looking for a Data Analyst. This role is HYBRID in Torrance, CA- a multi-year contract with no end date, W2 only.
Daily Task Performed:
- 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.
Position Success Criteria (Desired) - 'WANTS'
- 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.
Daily Task Performed:
- 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.
Position Success Criteria (Desired) - 'WANTS'
- 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.