Data Analyst

ReqRoute,Inc; Charlotte (NC); On-site; USD 65,000 - 90,000; Full time

Job summary

ReqRoute,Inc is seeking a Data Analyst to collaborate with business stakeholders and translate data needs into actionable insights. This onsite role is based in Charlotte, NC with collaboration potential in St. Louis, MO.

You will leverage SQL, Python, Snowflake, and AWS services to build data models, ETL/ELT pipelines, and data warehouses, analyse trends, and present findings to technical and business teams.

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 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 for data analysis

Snowflake

Python

ETL/ELT

Data modeling

Data warehousing

AWS S3

Stakeholder collaboration

Communication skills

Tools

Snowflake

AWS S3

Job description

Job Title: Data Analyst

Location: Onsite (Charlotte, NC / St. Louis, MO)

Important: Candidates will be required to attend an in-person interview.

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.