IPolarity LLC

Business Data Analyst MO and NC locations

IPolarity LLC Hanover Township, New Jersey, United States · $104K/yr

Staffing and Recruiting · 51-200 employees

3 h ago
data-analyst Mid (2-5 yrs) Full-time United States
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About the role

Collaborate with business stakeholders to gather requirements and apply data engineering concepts to manage and transform large datasets. Analyze data to identify trends and communicate findings to technical and business teams.

What they look for

SQL Snowflake Python Data Engineering ETL ELT Data Modeling Data Warehousing AWS S3 Glue Athena Data Analysis Data Validation Troubleshooting Stakeholder Collaboration

Requirements

Requires strong proficiency in SQL, Snowflake, and Python for data analysis and automation. Candidates must have experience with AWS services and a solid understanding of data engineering pipelines and modeling.

Full description

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.

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