Analytics Intern, GTM

About the Role

GTM Analytics at Tractian focuses on understanding customer acquisition and sales conversion using data. This role involves building data models and performing analyses using SQL and Python to support go-to-market teams with evidence for strategic decisions.

What You Will Do

• Take ownership of a focused analytics project to answer a business question for go-to-market teams.
• Use SQL and Python to combine data from various sources, investigate inconsistencies, and build reliable analyses.
• Clearly explain findings, highlight uncertainties, and suggest how results can be utilized.

Key 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, adding validation checks to ensure data accuracy.
• Collaborate with GTM stakeholders to translate business questions into dashboards and analyses that inform decisions.
• Present findings and recommendations, acknowledging data limitations, and documenting assumptions and data update processes.

Requirements & Tech Stack

• Proficiency in SQL, including joins, aggregations, and window functions.
• Proficiency in Python for data processing and automation.
• Experience building a data project through coursework, research, an internship, or independent work.
• Ability to translate business questions into analytical approaches, explain findings, and recognize conclusion limitations.
• Demonstrated ownership of work, including investigating unexpected results and incorporating feedback for improvement.

Qualifications

• Background in Engineering, Business Analytics, or a related quantitative field.
• Ability to explain how data was organized, quality was checked, and analysis was made reproducible.

Helpful Experience

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

What You Will Gain

• Hands-on experience using SQL and Python to solve business problems with sales and marketing data.
• Feedback on code, data models, and analytical approach from the team.
• Deeper understanding of customer acquisition and sales performance measurement.
• Practice presenting findings and recommendations to end-users.