Posted:
11/14/2024, 2:53:50 AM
Location(s):
Paris, Ile-de-France, France ⋅ Ile-de-France, France
Experience Level(s):
Internship
Field(s):
Data & Analytics ⋅ Operations & Logistics
At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
Dataiku is looking for a Data Analytics & Operations Intern to join our Cloud team in Paris. You will play a central role in delivering data driven insights and data products to various teams in the company regarding our SaaS offering to drive both operational efficiency and user satisfaction. You will work hand-in-hand with the Cloud Product and Engineering teams, contributing to the success of Dataiku's fully-managed SaaS offering. We extensively use our own product, so you will also have the chance to develop your projects and upskill on our Everyday AI platform!
You will work closely with the Dataiku Cloud team to help identify business problems and solve them with ad-hoc data analysis or long-term data-driven solutions that you’ll create and implement. You will be the owner of your projects and manage them from the requirement gathering sessions to the delivery of the technical solution and communication to stakeholders. Below are some examples of specific responsibilities:
The scope of the job represents a unique opportunity to understand the company as a whole, develop your analytical skills, and learn the inner workings of a SaaS product.
Website: https://www.dataiku.com/
Headquarter Location: Paris, Ile-de-France, France
Employee Count: 501-1000
Year Founded: 2013
IPO Status: Private
Last Funding Type: Series F
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Big Data ⋅ Data Integration ⋅ Enterprise Software