About Us:
SuperAGI is pioneering the future of Artificial General Intelligence with groundbreaking research and innovative AI products. Our mission is to transform the future of applications through intelligent, autonomous solutions that drive unparalleled efficiency and growth. We are building a world where AI and human intelligence collaborate seamlessly to achieve extraordinary outcomes. If you are passionate about AI and eager to be part of a team that is shaping the future, SuperAGI is the place for you.
About the Role:
As a
Data Analytics Intern
, you will gain hands-on experience working on data that directly influences product and business decisions. You will collaborate closely with
product, engineering, and marketing teams
to analyze product performance, track key metrics, benchmark against competitors, and identify trends across user behavior and market data. You will support data-driven decision-making by building reports, dashboards, and insights that span the
entire product lifecycle—from discovery and experimentation to launch and optimization
.
Key Responsibilities:
Collect, validate, clean, and analyze data from multiple internal and external sources to ensure accuracy and reliability
Develop and maintain dashboards, reports, and data views using tools such as
Excel and SQL
to track key business and product metrics
Partner with business, product, and operations teams to deliver
data-driven insights and actionable recommendations
Identify trends, patterns, and growth opportunities through structured analysis of large and complex datasets
Perform
ad-hoc analyses and root cause investigations
to support strategic, operational, and performance-related decisions
Skills & Qualifications:
Required Skills & Qualifications
Currently pursuing or recently completed a degree in
Engineering, Computer Science, Statistics, Business Analytics, Economics, or related fields
- Strong analytical and problem-solving skills
- Basic knowledge of
SQL,
- Very good knowlwdge on Excel/Google Sheets, and data visualization
- Familiarity with
Python
is a plus
- Ability to work with large datasets and attention to detail
- Good communication and presentation skills
- Eagerness to learn and adapt in a fast-paced environment
