Analytics Engineer Intern

Summary

Benzinga is seeking an Analytics Engineering Intern to join its Data Science team for a 12-week, part-time, remote internship. The role focuses on SQL data modeling, dashboards, data quality, business intelligence, and translating data into actionable insights for stakeholders.

Responsibilities

• Write SQL that transforms raw data into structured datasets as part of a data pipeline and turn it into something a dashboard can use
• Support existing reporting and develop new reporting and dashboard work
• Build a deliverable project: design and build SQL data models connecting to a source dataset, build a Looker Studio dashboard, validate with a stakeholder, and present both the dashboard and the findings uncovered along the way
• Conduct data quality checks and learn to identify and troubleshoot common data issues
• Collaborate with a stakeholder to ensure a dashboard deliverable actually answers the business question being asked, not just the question as first stated
• Present findings and recommendations to both technical and non-technical audiences
• Use AI coding assistants as a tool to accelerate work, with the expectation that all code is understood, verified, and can be explained rather than accepted at face value

Skills

• Currently enrolled in an undergraduate program in Data Analytics, Business Analytics, Economics, Information Systems, Computer Science, or a related quantitative field
• Basic SQL proficiency: comfortable with SELECT, JOIN, GROUP BY, and simple aggregations
• Basic familiarity with version control concepts, such as using Git
• Exposure to a BI/visualization tool (Looker Studio, Tableau, Power BI)
• Familiarity with GitLab or GitHub merge request/pull request workflow
• Exposure to web application, marketing, or financial/media data
• Prior experience using AI coding assistants (Claude Code, GitHub Copilot, ChatGPT) for coursework or personal projects

Qualifications

Must Haves

• Currently enrolled in an undergraduate program in Data Analytics, Business Analytics, Economics, Information Systems, Computer Science, or a related quantitative field
• Basic SQL proficiency: comfortable with SELECT, JOIN, GROUP BY, and simple aggregations
• Basic familiarity with version control concepts, such as using Git

Nice to Haves

• Exposure to a BI/visualization tool (Looker Studio, Tableau, Power BI)
• Familiarity with GitLab or GitHub merge request/pull request workflow
• Exposure to web application, marketing, or financial/media data
• Prior experience using AI coding assistants (Claude Code, GitHub Copilot, ChatGPT) for coursework or personal projects

Benefits

• Remote work arrangement (12-week, part-time internship)