About The Position

As a Go to Market (GTM) Analytics Intern during Summer 2026, you'll play a vital role in supporting our Analytics team, contributing to the engineering, optimization, and adoption of analytics tools and technologies used by our Go-to-Market (GTM) teams. This internship provides a fantastic opportunity to learn about data analysis, AI integration, and business intelligence within a fast-paced environment. You'll assist in data preparation, analysis, and reporting, gaining valuable experience and contributing to data-driven decision-making.

Requirements

  • Currently enrolled in a Bachelor’s degree program in Business Administration, Finance, Economics, Data Science, or a related analytics field.
  • Technical Skills: Proficiency in SQL
  • Familiarity with data visualization tools such as Sigma Computing, Tableau, Power BI, or Looker.
  • Exposure to (or coursework in) data cleansing, transformation, and validation techniques.
  • Analytical & Problem-Solving Skills: Curiosity and enthusiasm for working with data.
  • Ability to break down problems, identify patterns, and contribute to developing insights that support business decisions.
  • Communication & Collaboration Clear verbal and written communication skills.
  • Comfortable sharing ideas and asking questions.
  • Willing to collaborate with team members from both technical and non-technical backgrounds.

Nice To Haves

  • Interest in AI/Automation tools and methodologies.
  • Strong organizational skills with the ability to balance multiple tasks in a fast-paced environment

Responsibilities

  • Data Analysis & Modeling: Utilize data analysis techniques to interpret large datasets, develop models, and extract actionable insights that inform strategic decisions.
  • AI Integration: Assist with AI integrations to streamline operational processes, enhance data accuracy, and generate actionable insights that inform and optimize go-to-market strategies
  • Data Cleaning & Transformation: Ensure data accuracy and integrity by performing data cleaning, transformation, and validation tasks, maintaining high-quality datasets for analysis.
  • Reporting & Visualization: Prepare and update business intelligence dashboards and reports that track key performance indicators, providing stakeholders with clear and actionable insights into business performance.
  • Documentation & Best Practices: Assist in creating and updating documentation for data processes, reports, and tools.
  • Collaboration & Communication: Collaborate with cross-functional teams to understand business needs and learn how analytics findings inform strategies.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service