Intern - Analytics and Data Science

We are looking for a data-driven and detail-oriented Data Intern to help transform raw information into actionable business insights. In this role, you will be a key contributor to our business intelligence efforts, primarily focused on building and maintaining interactive dashboards and optimizing our data reporting workflows. This position is ideal for students who are passionate about data storytelling and want to apply their SQL and Looker/Data Studio skills to real-world business challenges.

Responsibilities

Dashboard Development: Design, build, and maintain automated dashboards using Looker (Looker Studio/Google Data Studio) to track KPIs and business performance; SQL Querying: Write and optimize SQL queries to extract, transform, and load data from various databases (e.g., BigQuery, PostgreSQL); Data Visualization: Create compelling visual representations of complex data sets to make insights easily digestible for non-technical stakeholders; Data Hygiene & Validation: Assist in cleaning and validating data sets to ensure the accuracy and integrity of all reporting; Ad-hoc Analysis: Support the team with deep-dive analyses on specific business problems as they arise; Automation: Identify opportunities to automate manual reporting processes using tools like Google Sheets or scheduled SQL scripts

Requirements

Fundamental to intermediate SQL knowledge (joins, subqueries, aggregations); Hands-on experience (academic or project-based) with Looker Studio, Tableau, or Power BI; Proficient in Google Sheets/Excel (pivot tables, VLOOKUPs, etc.); Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, Information Technology, or a related quantitative field; Strong ability to connect the dots and translate numbers into narratives; Ability to explain technical findings clearly and concisely; Must be currently enrolled in a university program that requires On-the-Job Training (OJT) or an internship for graduation; Ability to provide a School Endorsement Letter and coordinate the signing of a Memorandum of Agreement (MOA) between the company and the educational institution; Willingness to render the required number of hours (e.g., 200-600 hours) as dictated by the school curriculum

Benefits

Real Impact: Dashboards used by leadership to make actual business decisions; Mentorship: Work directly with experienced tech leads and executives; Tooling: Hands-on experience with modern data stacks and enterprise-level BI tools; Remote-first setup; Possible paid position post-internship; Competitive compensation packages mentioned