What are the responsibilities and job description for the Business Data Analyst MO and NC locations position at IPolarity LLC?
Job Title: Data Analyst
Location: Onsite (Charlotte, NC / St. Louis, MO)
Work type: W2
****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.
Location: Onsite (Charlotte, NC / St. Louis, MO)
Work type: W2
****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.
Salary : $50