About Aries
Aries is a rapidly-scaling, next-generation software group purpose-built to scale founder-led, mission-critical SaaS companies at the heart of the $50B+ cloud ecosystem. We unify niche B2B SaaS businesses under Aries' AI and Growth Platform - unlocking visibility, velocity, and value across our portfolio. With a permanent capital base and ~$200M invested annually, weโre building a new model for software scale focused on long-term value.
We're looking for a curious, motivated intern to join our Analytics Engineering team. If youโre excited about transforming raw data into powerful insights using modern cloud data tools, this internship is a great opportunity to gain real-world, production-grade experience.
About the Role
As an Analytics Engineer Intern, youโll help us build the foundation of our data products, reliable data models and intuitive dashboards. Your contributions will ensure business users can confidently take actions and access metrics that matter.
Responsibilities
Build and maintain Data models and Products that power critical dashboards, processes and reporting tools.
Help manage and optimize data pipelines in dbt & Snowflake, our primary data warehouse.
Collaborate with analysts and business stakeholders to understand their data needs and design intuitive, self-serve solutions.
Design and maintain dashboards in Sigma that empower non-technical users.
Assist with documentation, data testing, and quality checks to ensure data integrity.
Work closely with the data engineering team on schema design, performance, and pipeline best practices.
Qualifications
Currently pursuing or recently completed a degree in Data Science, Analytics, Computer Science, Engineering, or a different field, with strong interest and experience in data.
Required Skills
Strong SQL skills and an understanding of relational databases.
Familiarity with Python or other coding language.
Exposure to Snowflake or another cloud data warehouse.
Familiarity with dashboarding tools like Sigma, Tableau, or Looker.
Interest in data modeling, fast moving environment, and analytical thinking.
Good communication skills and a collaborative mindset.
Preferred Skills
Exposure to real-world data workflows and business use cases.
Hands-on experience and ability to build a modern techstack.
Mentorship from experienced analytics engineers.
Insight into how high-growth companies use data to drive decisions.
Opportunities to contribute to projects that get used across the business.
Internship Logistics
Start Date: Flexible (ideal: AugustโSeptember 2025)
Length: 3โ6 months, with potential to extend
Application Deadline: Rolling
Location: London
How to Apply
Send your resume and a short note explaining:
Why youโre excited about analytics engineering.
Any projects or coursework where youโve used SQL, Snowflake, or dashboarding tools.
Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices.