Analytics Engineering Intern
Austin, TX, United States
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Knowledge and experience in SQL and Python.
- Demonstrated ability to leverage AI effectively to accelerate your productivity.
- Understanding of relational databases, data modeling concepts, and data platforms.
Preferred experience
- Prior experience or projects involving data warehousing, ETL, or business intelligence is a plus.
Qualification wording
Knowledge and experience in SQL and Python.
Demonstrated ability to leverage AI effectively to accelerate your productivity.
Understanding of relational databases, data modeling concepts, and data platforms.
Prior experience or projects involving data warehousing, ETL, or business intelligence is a plus.
Tools in this posting
- Python
- SQL
- Snowflake
Source — Tool mentions in context
Join our Emerson T&M Analytics Engineering team as an intern and gain hands-on experience building enterprise-scale data solutions on the Snowflake platform. In this role, 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, while also helping modernize data governance through the automated generation of documentation and metadata management within Snowflake. This is an excellent opportunity for a motivated individual to apply SQL, Python, analytics, and AI-driven problem-solving skills to deliver real business impact while learning from experienced data professionals. In This Role, Your Responsibilities Will Be:
- Enrolled in or completed a Bachelors or Masters in: Business Analytics, Management Information Systems, Computer Information Systems or related field of study. - Knowledge and experience in SQL and Python. - Understanding of relational databases, data modeling concepts, and data platforms.
- 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.
- 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.
- 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).
- Communicating improvements and recommendations for action in an effective and concise manner (technical and non-technical audiences). - Auto-generating documentation from Snowflake, tagging sensitive columns, and ensuring assets are properly documented. Who You Are:
Preferred Qualifications That Set You Apart: - Exposure to Snowflake or similar cloud data platforms. - Eagerness to learn and ability to work independently.
Job description
Join our Emerson T&M Analytics Engineering team as an intern and gain hands-on experience building enterprise-scale data solutions on the Snowflake platform. In this role, 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, while also helping modernize data governance through the automated generation of documentation and metadata management within Snowflake. This is an excellent opportunity for a motivated individual to apply SQL, Python, analytics, and AI-driven problem-solving skills to deliver real business impact while learning from experienced data professionals.
In This Role, Your Responsibilities Will Be:
- 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).
- Auto-generating documentation from Snowflake, tagging sensitive columns, and ensuring assets are properly documented.
Who You Are:
You build partnerships and work collaboratively with others to meet shared objectives. You readily learn and adopt new technologies, systems, and digital tools to improve efficiency and outcomes. You learn through experimentation when tackling new challenges, using both successes and setbacks as opportunities for growth. You adapt your approach quickly in response to changing priorities and new information, maintaining effectiveness in a dynamic environment.
For This Role, You Will Need:
- Enrolled in or completed a Bachelors or Masters in: Business Analytics, Management Information Systems, Computer Information Systems or related field of study.
- 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.
Preferred Qualifications That Set You Apart:
- Exposure to Snowflake or similar cloud data platforms.
- Eagerness to learn and ability to work independently.
- Excellent storytelling abilities to communicate with stakeholders across multiple functions and levels.
- Demonstrated ability to leverage AI effectively to accelerate your productivity.
- Strong analytical thinking, problem solving, and attention to detail.
- Prior experience or projects involving data warehousing, ETL, or business intelligence is a plus.
Our Culture & Commitment to You:
National Instruments is now the Test & Measurement (T&M) BU in the Emerson Portfolio.
We recognize the importance of employee wellbeing and know that to do your best you must have flexible, competitive compensation, corporate housing accommodation, relocation assistance, employee resource groups, recognition, and much more. Our culture prioritizes work-life balance and offers flexible time off plans, including vacation and holiday leave.
At Emerson, we are committed to fostering a culture where every employee is valued and respected for their unique experiences and perspectives. We believe a diverse and inclusive work environment contributes to the rich exchange of ideas and diversity of thoughts, that inspire innovation and brings the best solutions to our customers.
The philosophy is fundamental to living our company’s values and our responsibility to leave the world in a better place. Learn more about our Culture & Values.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on hdjq.fa.us2.oraclecloud.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Austin, TX, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 20, 2026
- Recorded sightings
- 25
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Sep 14, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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