Data Analyst

Good understanding of Data Engineering concepts (ETL/ELT, data pipelines, data modeling, data warehousing). "Apply Data Engineering concepts including ETL/ELT, data modeling, and data warehousing.

"Job Title: Data Analyst
"Vendor Pay Rate: ***/hr (including VMS)
"Location: Onsite (Charlotte, NC / St. Louis, MO)

Job Description

Key Responsibilities
Collaborate with business stakeholders to gather and understand data requirements
"Apply Data Engineering concepts including ETL/ELT, data modeling, and data warehousing.
"Communicate analytical findings and recommendations to technical and business teams.
"Analyze and interpret data to identify trends, insights, and business opportunities.
"Develop and optimize complex SQL queries for data extraction, validation, and analysis.
"Work with Snowflake to manage, transform, and analyze large datasets.
"Use Python for data analysis, automation, and data quality checks.
"Support data validation, troubleshooting, and root cause analysis.
"Work with AWS services such as S3, Glue, and Athena to support data solutions.
Required Skills & Qualifications
"Strong proficiency in SQL for data analysis
"Hands-on experience with Snowflake.
"Experience using Python for data analysis and automation.
"Good understanding of Data Engineering concepts (ETL/ELT, data pipelines, data modeling, data warehousing).
"Working knowledge of AWS services, particularly S3
"Strong analytical and problem-solving skills.
"Experience in requirement gathering and stakeholder collaboration.
"Excellent verbal and written communication skills.