Analytics Intern - GTM

Summary

TRACTIAN combines hardware, software, and AI to help industrial teams detect equipment problems early and prevent costly downtime. The Analytics Intern will support GTM Operations by using SQL and Python to integrate data, build reliable models, investigate data quality issues, and deliver analyses and recommendations that inform sales and marketing decisions.

Responsibilities

• Write SQL transformations and Python workflows to combine CRM, campaign and account data into reliable datasets
• Build reusable data models and define consistent metrics for customer acquisition and sales pipeline performance
• Investigate missing records, duplicates and conflicting results. Add validation checks to catch errors before teams rely on the data
• Work with GTM stakeholders to turn business questions into dashboards and analyses that inform decisions
• Explain your findings and recommendations, including what the data cannot tell us. Document assumptions and how datasets and reports are updated

Skills

• Engineering, Business Analytics or a related quantitative field
• Strong SQL skills, including joins, aggregations and window functions, and proficiency in Python for data processing and automation
• Experience building a data project through coursework, research, an internship or independent work. You should be able to explain how you organized the data, checked its quality and made your analysis reproducible
• Ability to turn a business question into an analytical approach, explain your findings and recognize the limits of your conclusions
• Ownership of your work, including investigating unexpected results and improving your approach through feedback
• Experience with data warehouses, Databricks or PySpark, ETL/ELT workflows, Git, BI tools or HubSpot data
• API integration and familiarity with sales funnels are useful

Qualifications

Must Haves

• Engineering, Business Analytics or a related quantitative field
• Strong SQL skills, including joins, aggregations and window functions, and proficiency in Python for data processing and automation
• Experience building a data project through coursework, research, an internship or independent work. You should be able to explain how you organized the data, checked its quality and made your analysis reproducible
• Ability to turn a business question into an analytical approach, explain your findings and recognize the limits of your conclusions
• Ownership of your work, including investigating unexpected results and improving your approach through feedback

Nice to Haves

• Experience with data warehouses, Databricks or PySpark, ETL/ELT workflows, Git, BI tools or HubSpot data
• API integration and familiarity with sales funnels are useful

Benefits

• Remote work arrangement
• Hands-on experience using SQL and Python to solve a business problem with sales and marketing data.
• Feedback on your code, data models and analytical approach from the team.
• A deeper understanding of how customer acquisition and sales performance are measured.
• Practice presenting findings and recommendations to the people who will use them.