---
title: 'Product Analytics at Dataiku'
canonical: 'https://feeny.ai/job/product-analytics-dataiku-paris-fbzkcdyq4yht'
type: 'job'
last_seen: '2026-09-14'
---

# Product Analytics at Dataiku

- **Company:** Dataiku
- **Location:** Paris, France
- **Work type:** remote
- **Posted:** 2026-07-30
- **Last confirmed live:** 2026-09-14
- **Apply:** https://job-boards.greenhouse.io/dataiku/jobs/6122319004

## Job description

[Dataiku](https://www.dataiku.com/?utm_source=newswire&utm_medium=press-release&utm_campaign=PlatformforAISuccess) is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku [blog](https://blog.dataiku.com/?_gl=1*17edvf4*_ga*MjA1Mjk5NzY4OC4xNjY3MjMyMDUz*_ga_B3YXRYMY48*MTY2OTA1MDY5NS4xMi4xLjE2NjkwNTA2OTguNTcuMC4w), [LinkedIn](https://www.linkedin.com/company/dataiku/), [X](https://x.com/dataiku), and [YouTube](https://www.youtube.com/dataiku).

The ideal candidate will have a solid analytical foundation and an interest in product analysis, with enthusiasm for supporting business decisions through data insights. The Product Analyst will work alongside cross-functional teams to help identify trends, support product performance tracking, and contribute to the overall success of our products.

Responsibilities:

- Data Analysis: Support analysis of product data to help identify trends, patterns, and opportunities for improvement, under guidance from senior team members.
- Reporting: Help build and maintain reports and dashboards to track key performance indicators (KPIs) and product metrics.
- Insights Generation: Assist in producing insights and recommendations for stakeholders (Product team, Technology team, Customer team, etc.) based on data analysis.
- Collaboration: Work with product managers, engineers, central analytics team and other stakeholders to understand business needs and help translate them into analytical requirements.
- Data Quality: Help ensure the accuracy and integrity of data used for analysis.
- Tool Utilization: Learn and use analytical tools such as Mixpanel and Dataiku to support data-driven decision-making.
- Stakeholder Communication: Communicate data findings clearly to both technical and non-technical stakeholders, with support from senior colleagues as needed.

Qualifications:

- Education: Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
- Experience: Some experience (including internships or academic projects) in product analysis or a related area is a plus; strong potential and eagerness to learn are equally valued.
- Technical Skills: Basic proficiency in SQL and Excel; familiarity with data visualization tools such as Mixpanel or Dataiku is a plus. Exposure to Python is a plus.
- Analytical Mindset: Good analytical and problem-solving skills, with a willingness to develop the ability to translate data into actionable insights.
- Communication: Good written and verbal communication skills, with the ability to present findings clearly.
- Attention to Detail: Careful and detail-oriented, with a commitment to data accuracy and quality.
- Collaboration: Comfortable working in a cross-functional team environment and eager to learn from others.

Preferred Qualifications:

- Familiarity with Mixpanel or other data visualization tool
- Basic knowledge of statistical analysis concepts
- Interest in product management principles and practices

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](https://www.linkedin.com/company/dataiku/).

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](http://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.](https://www.dataiku.com/legal/dataiku-recruitment-scams/)

## About Dataiku

## Company Overview
- **One-liner**: Dataiku provides an enterprise orchestration layer for building, deploying, and governing AI, connecting data, ML, LLMs, and agents in a single platform.
- **Entity Type**: Private (venture-backed; notable investors include FirstMark Capital and Battery Ventures)
- **Headquarters**: New York, United States (with a co-headquarters in Paris, France and offices in 13 global locations)
- **Founded**: 2013
- **Founders**: Florian Douetteau (CEO), Clément Sténac (CTO), Marc Batty (Co-Founder)

## Core Business
- **Primary industry**: Enterprise AI platform / Data Science & Machine Learning / Generative AI
- **Target customers**: B2B, primarily large enterprises and highly regulated industries (e.g., healthcare, financial services, consumer goods)
- **Mission**: "Unite your people, data, governance, and technology with the Platform for AI Success."

## Products & Services
- **[Dataiku Platform]**: A unified SaaS / on-premise environment for analytics, machine learning, generative AI, and autonomous agents. Core capabilities include:
  - **Orchestration** – connecting data, ML, LLMs, and agents across any infrastructure.
  - **Governance** – unified visibility, cost controls, and audit-ready oversight for compliance and risk management.
  - **People** – collaborative workflows enabling business and technical teams to work together without handoffs.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: $350M in Annual Recurring Revenue (ARR)
- **Notable Investors/Partners**: FirstMark Capital, Battery Ventures, Alexandre Dayon (former President & CPO of Salesforce)
- **Growth Signals**:
  - Over 1,200 employees across 13 offices and remote locations worldwide.
  - Trusted by 1 in 4 of the world’s top companies (based on 2024 Forbes Global 2000, excluding China).
  - Named a Leader in the Gartner® Magic Quadrant™ for AI Platforms for Data Science and ML for five consecutive years (2022–2026).
  - 650+ customers globally, including Johnson & Johnson.

## Competitive Advantages
- Single platform that unifies analytics, ML, LLMs, and agents with built-in governance from day one – reducing fragmentation and risk.
- Strong positioning for highly regulated industries: offers full visibility into compliance, cost, and risk across multi-vendor environments.
- Proven ability to operationalize new AI technologies (gen AI, agents) while maintaining stability and trust – a key differentiator in the enterprise market.

## Strategic Focus
- Continue to lead the enterprise AI platform market by enabling organizations to build and deploy agents grounded in their own data, pipelines, and models.
- Deepen governance capabilities to control cost and risk across the entire AI stack.
- Expand adoption in regulated verticals and support multi-cloud / hybrid deployments.

## Why Work Here
- **Culture**: Dataiku emphasizes "accountable camaraderie," work-life balance, dedicated learning, tolerance, and open-mindedness. Diversity of people and perspective is core to the company.
- **Work model**: Hybrid and remote-friendly – 30% of employees are fully remote; others are expected in the office at least once a week. All employees are welcome to use office spaces as frequently as they like.
- **Recognition**: Great Place to Work Certified™, Inc. Best Workplaces (2019–2022), Forbes America’s Best Startup Employers (2020–2023).
- **Benefits**: Vary by country but focus on health, family support, learning opportunities, and community involvement. The company states it "truly cares about people" and counts progress, not hours.
- **Engineering culture**: Geeky, learning-oriented environment where teams work with cutting-edge AI technologies (agents, LLMs, ML) at enterprise scale.

## Sources
1. [dataiku.com](https://www.dataiku.com/) – Company overview, product details, mission, customer data
2. [dataiku.com/company](https://www.dataiku.com/company) – Leadership team, investors, ARR, employee count, values
3. [dataiku.com/company/careers](https://www.dataiku.com/company/careers) – Working styles, benefits, culture, office locations
4. [linkedin.com/company/dataiku](https://www.linkedin.com/company/dataiku) – Company size, industry, headquarters
5. [job-boards.greenhouse.io/dataiku](https://job-boards.greenhouse.io/dataiku) – Current job openings (40+ as of search date)

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