Sr. Business Analyst - SRBIZA

Ipolarity LLC; Charlotte (NC); On-site; USD 55,000 - 83,000; Full time

Job summary

Ipolarity LLC is seeking a Data Analyst to collaborate with stakeholders, write and optimize SQL, and help build data solutions in Charlotte/St. Louis. You will leverage Snowflake, Python, and AWS (S3) to transform data, perform validation, and deliver insights to business teams.

The role is onsite in Charlotte, NC, with opportunities to work across datasets and collaborate with cross-functional teams on data-driven initiatives.

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.

Responsibilities

• Collaborate with stakeholders to gather 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 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.

Skills

SQL

Data analysis

Data engineering concepts

ETL/ELT

Data warehousing

Python

Analytical skills

Communication

Tools

Snowflake

AWS S3

AWS Glue

AWS Athena

Job description

Job Title: Data Analyst

Vendor ####: ####/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.