Analytics Engineer Intern: Snowflake Dashboards

Emerson; Austin (TX); On-site; USD 28,000 - 41,000; Full time

Benefits offered by this job

Relocation assistance

Flexible time off plans

Vacation and holiday leave

Employee resource groups

Recognition

Job summary

Emerson's T&M Analytics Engineering team is offering an internship to build enterprise‑scale data solutions on Snowflake. You will partner with business and data teams to develop a scalable operational dashboard that provides visibility into costs, pipeline health, system performance, and key metrics.

You will apply SQL, Python, analytics, and AI‑driven problem solving to deliver real business impact while learning from experienced data professionals.

Qualifications

• Enrolled in or completed a Bachelor’s or Master’s in Business Analytics, MIS, CIS or related field.
• Knowledge and experience in SQL and Python.
• Understanding of relational databases, data modeling concepts, and data platforms.
• Must have legal authorization to work in the United States.

Responsibilities

• Building effective partnerships with business stakeholders and data team members.
• Gaining a deep understanding of our data portfolio and related data transformation pipelines using Snowflake platform.
• Designing and building a scalable internal operational dashboard (cost monitoring, pipeline status and health, and KPIs) entirely within Snowflake.
• Auto‑generating documentation from Snowflake, tagging sensitive columns, and ensuring assets are properly documented.
• Communicating improvements and recommendations for action in an effective and concise manner (technical and non‑technical audiences).

Skills

SQL

Python

Analytics

AI-driven problem-solving

Data governance

Education

Bachelor's or Master's in Business Analytics, MIS, CIS or related field

Tools

Snowflake

Job description

Emerson's T&M Analytics Engineering team is offering an internship to build enterprise‑scale data solutions on Snowflake. You will partner with business and data teams to develop a scalable operational dashboard that provides visibility into costs, pipeline health, system performance, and key metrics.

You will apply SQL, Python, analytics, and AI‑driven problem solving to deliver real business impact while learning from experienced data professionals.