22 hours ago

Product Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Support product analysis by identifying trends, patterns, and improvement opportunities from product data. Build and maintain reports and dashboards to track KPIs and product metrics, and generate insights and recommendations for stakeholders. Partner with product managers, engineers, and the central analytics team to translate business needs into analytical requirements, while ensuring data accuracy and using tools like Mixpanel and Dataiku to drive data-informed decisions.

Location: Paris

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Support analysis of product data to identify trends, patterns, and opportunities for improvement under guidance.
•Build and maintain reports and dashboards to track KPIs and product metrics.
•Produce insights and recommendations for stakeholders based on data analysis.
•Collaborate with product managers, engineers, and other stakeholders to translate business needs into analytical requirements.
•Help ensure the accuracy and integrity of data used for analysis.

Key Requirements

•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.
•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, problem-solving, written and verbal communication skills, with attention to data accuracy and quality.

Experience:Product analysis

Education:Bachelor's

Skills:Analytical mindsetProblem-solvingCommunicationAttention to detailCollaboration

Languages:English

Tech Stack:SQLExcelMixpanelDataikuPython

Company Brief

Dataiku

Provides an end-to-end AI and machine learning platform that enables organizations to build, deploy, and manage data products at scale, combining data preparation, model development, and MLOps capabilities for business users and data scientists.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Paris, France

Founded: 2013

Website LinkedIn

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Dataiku

22 hours ago

Product Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Paris

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Support analysis of product data to identify trends, patterns, and opportunities for improvement under guidance.
•Build and maintain reports and dashboards to track KPIs and product metrics.
•Produce insights and recommendations for stakeholders based on data analysis.
•Collaborate with product managers, engineers, and other stakeholders to translate business needs into analytical requirements.
•Help ensure the accuracy and integrity of data used for analysis.

Key Requirements

•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.
•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, problem-solving, written and verbal communication skills, with attention to data accuracy and quality.

Experience:Product analysis

Education:Bachelor's

Skills:Analytical mindsetProblem-solvingCommunicationAttention to detailCollaboration

Languages:English

Tech Stack:SQLExcelMixpanelDataikuPython

Company Brief

Dataiku

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Paris, France

Founded: 2013

Website LinkedIn