1 month ago

Product Analytics

Paris, FranceRemoteMid · 2-5 yearsProduct Analyst

What you'll do

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

What they're looking for

Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
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.
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.
Good analytical and problem-solving skills, with a willingness to develop the ability to translate data into actionable insights.
Good written and verbal communication skills, with the ability to present findings clearly.
Careful and detail-oriented, with a commitment to data accuracy and quality.
Comfortable working in a cross-functional team environment and eager to learn from others.

Nice to have

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

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

Dataiku 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, LinkedIn, X, and YouTube.

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.

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.

SaaS

Company

DataikuSaaS

Paris, France

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