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Product Analytics

On-site
DataikuParis, FR / FR4 weeks agoWebsite
Aging
Product Operations

Compensation

Salary undisclosed
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Description

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

Stack

PythonSQL
Posted
Jul 30, 2026
Last seen
Jul 30, 2026
First seen
Jul 30, 2026

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