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. You can find out even more about working in Engineering at Dataiku by taking a look here.

Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset).

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.

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, includingCommunity 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

What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com

Protect yourself from fraudulent recruitment activity

Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

Product Analyst Intern