2 дня назад
Analytics and Data Science Intern
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics and Data Science Intern (SQL/BI): Building automated dashboards and data reporting workflows for healthcare lab operations with an accent on SQL querying, data visualization, and reporting accuracy. Focus on cleaning and validating datasets, automating recurring reports, and translating business data into actionable insights.
Location: Remote-first; company address: Shaw Blvd, Mandaluyong City, Metro Manila, Philippines
Company
provides an end-to-end platform for automating and optimizing healthcare and medical diagnostic laboratory operations, including lab machine integrations.
What you will do
- Design, build, and maintain automated dashboards in Looker Studio/Google Data Studio to track KPIs and business performance.
- Write and optimize SQL queries to extract and transform data from databases such as BigQuery and PostgreSQL.
- Create clear visualizations that make complex datasets understandable to non-technical stakeholders.
- Clean and validate datasets to maintain accurate and reliable reporting.
- Support ad-hoc analysis of business problems and identify opportunities to automate manual reporting with Google Sheets or scheduled SQL scripts.
Requirements
- Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, Information Technology, or a related quantitative field.
- Fundamental to intermediate SQL knowledge, including joins, subqueries, and aggregations.
- Academic or project-based experience with Looker Studio, Tableau, or Power BI.
- Proficiency with Google Sheets or Excel, including pivot tables and VLOOKUPs.
- Ability to connect data points, form analytical narratives, and explain technical findings clearly.
- Must be enrolled in a university program requiring an internship or OJT for graduation and able to provide a school endorsement letter and coordinate an MOA.
Culture & Benefits
- Remote-first working setup.
- Dashboards and analyses contribute to real business decisions.
- Direct mentorship from experienced technology leads and executives.
- Hands-on experience with modern data stacks and enterprise BI tools.
- Potential opportunity for a paid position after the internship.
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