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Data Analyst

Incipient Corp.Charlotte, NC🇺🇸United StatesPosted 10 Aug 2026

Why This Role Stands Out

This Data Analyst role at Incipient Corp. offers a fantastic opportunity to deepen your expertise in data engineering concepts and cloud technologies like Snowflake and AWS. You'll thrive here if you're a mid-senior professional eager to translate complex data into actionable business insights and collaborate effectively with stakeholders. Apply now to join a dynamic team and contribute to impactful data solutions.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Position: Data Analyst

Location: Charlotte, NC/St. Louis, MO

Duration: 29 Months

Required to attend an in-person customer L2 interview

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:

  • 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.

Years of Experience: 8 Years of Experience

Skills

SQL
AWS
ETL
Snowflake
Python

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