Intern - Analytics and Data Science (Healthcare)

TL;DR

Intern - Analytics and Data Science (Healthcare): Transforming raw data into actionable business insights by building interactive dashboards and optimizing reporting workflows with an accent on SQL and BI tools. Focus on designing KPIs, automating manual reporting processes, and ensuring data integrity for medical lab operations.

Location: Remote (Philippines). Must be currently enrolled in a university program requiring On-the-Job Training (OJT).

Company

hirify.global offers a single, end-to-end platform for automating and optimizing healthcare and medical diagnostic lab operations.

What you will do

• Design, build, and maintain automated dashboards using Looker Studio/Google Data Studio to track KPIs and business performance.
• Write and optimize SQL queries to extract, transform, and load data from BigQuery and PostgreSQL.
• Create compelling visual representations of complex data sets for non-technical stakeholders.
• Clean and validate data sets to ensure the accuracy and integrity of all reporting.
• Support the team with deep-dive ad-hoc analyses on specific business problems.
• Identify and implement opportunities to automate manual reporting using Google Sheets or scheduled SQL scripts.

Requirements

• Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, IT, or a related quantitative field.
• Must be 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.
• Fundamental to intermediate knowledge of SQL (joins, subqueries, aggregations).
• Hands-on experience with Looker Studio, Tableau, or Power BI.
• Proficiency in Google Sheets or Excel (Pivot tables, VLOOKUPs).

Culture & Benefits

• Real impact: your dashboards will be used by leadership for business decision-making.
• Direct mentorship from experienced tech leads and executives.
• Hands-on experience with modern data stacks and enterprise-level BI tools.
• Remote-first work environment.
• Opportunity for a paid full-time position post-internship based on performance and qualifications.