Associate Data Analyst

Summary

Crew is a company that helps clients deliver change through IT project delivery and business process improvement. They are seeking an Associate Data Analyst to analyze and prepare data for reporting and analytics, contribute to dashboards, and support data quality checks. The role involves collaboration with data engineers and participation in team workflows.

Responsibilities

• Analyze, clean, and prepare data to support reporting, analytics, and AI initiatives
• Build and maintain datasets, queries, and analytical views using SQL and Databricks notebooks
• Contribute to dashboards, metrics, and exploratory analysis that support business and product decisions
• Partner with data engineers and platform team members to onboard new data sources and analytics use cases
• Help define and document analytics best practices, including data definitions, metrics, and reusable patterns
• Support data quality checks and validation to ensure analytics outputs are reliable and trusted
• Participate in team workflows and SDLC practices as they are established and refined

Skills

• Associate-level experience or education in data analytics, business analytics, analytics engineering, or a related field
• Strong foundational skills in SQL and data analysis concepts (joins, aggregations, transformations)
• Experience using notebooks or analytics tools such as Databricks, Jupyter, or similar platforms
• Exposure to Azure or cloud-based analytics environments
• Comfort working with incomplete or evolving requirements
• Analytical mindset with attention to detail and data quality
• Clear communication skills and ability to explain insights to non-technical partners

Qualifications

Must Haves

• Associate-level experience or education in data analytics, business analytics, analytics engineering, or a related field
• Strong foundational skills in SQL and data analysis concepts (joins, aggregations, transformations)
• Experience using notebooks or analytics tools such as Databricks, Jupyter, or similar platforms
• Exposure to Azure or cloud-based analytics environments
• Comfort working with incomplete or evolving requirements
• Analytical mindset with attention to detail and data quality
• Clear communication skills and ability to explain insights to non-technical partners

Benefits

• A comprehensive healthcare package (medical, dental, vision)
• Disability and group term life insurance
• Health and flexible spending accounts
• A utilization bonus
• 401(k) with match
• Flexible time off for salaried employees
• Parental leave for salaried employees
• Flexible work arrangements