Product Analyst Intern
Dataiku
Product Analyst Intern
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
Why join Dataiku:
Dataiku's on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators.
Our product is called Dataiku DSS which stands for Dataiku Data Science Studio.
What you'll do:
The Product Analytics Internship, within the Technology Team, offers a unique opportunity to gain a holistic understanding of the company, deepen analytical skills, and learn across a wide range of topics.
The Product Analytics team focuses on:
- Tackling business challenges by conducting data analyses, developing data-driven solutions, and identifying actionable insights.
- Establishing reporting on new features and conducting usage analyses, including Community and Academy websites activities.
- Supporting all analytics requests related to Product Analytics on Mixpanel or Dataiku.
- Collaborating with other data & analytics teams to ensure robust data foundations.
Your internship will be structured around two key missions:
- Set up Product Analytics metrics alerts to enhance data-quality monitoring.
- Build a prototype of a user base that consolidates usage, assignation, community, and learning data, among other information.
Requirements:
- Bachelor's, Master's, or equivalent degree in a quantitative field (e.g. Economics, Data Analytics, Data Engineering, Computer Science, Statistics, Mathematics, Data Science, etc.)
- Proficiency using SQL to query large data sets, with a strong understanding of statistics and experimentation
- Python is a plus
- Full professional English proficiency
- You are impact-focused, excited to solve ambiguous problems
- You are collaborative, forming trusting relationships with your cross-functional teammates and communicating data clearly across a broad audience