Data Analyst

TechDigital Group; Minnesota; On-site; USD 95,000 - 135,000; Full time

Job summary

TechDigital Group in Minnesota is seeking a Data Engineer to collaborate with stakeholders, design data pipelines, and optimize data warehousing solutions. You will leverage SQL, Python, Snowflake, and AWS to deliver robust data platforms and actionable insights.

The role focuses on extracting and validating data, building scalable data models, and communicating findings to both technical and business teams. Strong problem-solving and communication skills are essential.

Qualifications

• Proficient in SQL for data analysis.
• Hands-on experience with Snowflake.
• Python for data analysis and automation.
• Strong understanding of ETL/ELT, data pipelines, modeling, and data warehousing.
• Working knowledge of AWS services, especially S3.
• Strong analytical and problem-solving skills.
• Experience with requirements gathering and stakeholder collaboration.
• Excellent verbal and written communication.

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

Python

Data engineering concepts

Stakeholder collaboration

Communication

Tools

Snowflake

AWS S3

Job description

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.