Onsite Data Analyst: Snowflake, SQL & AWS Expertise

IPolarity; Whippany (NJ); On-site; USD 58,000 - 79,000; Full time

Job summary

IPolarity LLC is seeking a Data Analyst to collaborate with stakeholders, design and optimize data pipelines, and generate actionable insights. The role requires strong SQL, Snowflake, and Python skills, with experience in ETL/ELT, data warehousing, and AWS services (S3, Glue, Athena).

This onsite position involves in-person customer interviews and hands-on data work. Responsibilities include converting business questions into data requirements, building complex queries, and communicating

Qualifications

• Proficient in SQL for data analysis.
• Experience with Snowflake.
• Python for data analysis and automation.
• Understanding of Data Engineering concepts (ETL/ELT, pipelines, modeling, warehousing).
• Working knowledge of AWS services, especially S3.
• Strong analytical and problem-solving skills.
• Experience gathering requirements and collaborating with stakeholders.
• Excellent verbal and written communication skills.

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.

Skills

SQL

Snowflake

Python

ETL/ELT

AWS S3

Data modeling

Data warehousing

Stakeholder collaboration

Communication

Job description

IPolarity LLC is seeking a Data Analyst to collaborate with stakeholders, design and optimize data pipelines, and generate actionable insights. The role requires strong SQL, Snowflake, and Python skills, with experience in ETL/ELT, data warehousing, and AWS services (S3, Glue, Athena).

This onsite position involves in-person customer interviews and hands-on data work. Responsibilities include converting business questions into data requirements, building complex queries, and communicating