Data Analyst
Location: Onsite (Charlotte, NC / St. Louis, MO)
Locals only F2F interview
****Important Please make note: Candidates must be informed that they will be required to attend an in-person customer L2 interview. Please ensure that all submitted candidates are aware of and comfortable with the in-person customer interview requirement before submission. ***
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.
Data Analyst • MO, United States
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