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Pix

Experiments and Data Manager – Assessment

Pix

. Define and deploy metrics to measure the quality of Pix assessments .

Posted 10/20/2026contractParis • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and analyzing metrics for educational assessments, leveraging data analysis methods and scientific protocols to enhance digital content and training programs. Proficient in collaborating across teams to promote data-driven decision-making and improve assessment quality.

Highest-signal resume keywords
Data Analysis MethodsExperimental Protocol DesignInstructional DesignDatabase QueryingDigital Content Production

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisExperimental ProtocolsInstructional DesignDatabase QueryingProgramming LanguageDigital Content Production ToolsMetrics DesignPerformance MetricsManagement DashboardsGamification Mechanisms
Soft Skills
Excellent Writing SkillsAnalytical SkillsOrganizational SkillsTeamworkCuriosity
Tools & Technologies
MetabaseJiraConfluence
Industry Keywords
Educational EnvironmentDigital SkillsAssessment ContentPedagogical IssuesData-Driven Decision-Making

Tech Stack

Tools & technologies
Go

About the role

Key responsibilities & impact
  • Define and deploy metrics to measure the quality of Pix assessments
  • Gather and analyze teams’ needs for quantitative metrics
  • Design metrics at different levels: framework, domain, skill, topic, subject, learning outcome, and assessment item
  • Leverage available data and run queries on databases
  • Consolidate and analyze data to produce management dashboards and performance metrics
  • Document, monitor, and evolve metrics
  • Support teams in using Metabase
  • Identify issues and formulate working hypotheses
  • Design and implement experimental protocols and test plans
  • Analyze experiment results and formulate recommendations
  • Produce summaries and present findings to teams
  • Contribute to calibrating the difficulty of Pix Certification content
  • Contribute to studies conducted by the Pix Digital Skills Observatory
  • Act as the primary point of contact for Data teams on assessment-related topics
  • Promote data-driven decision-making within the department
  • Monitor scientific and methodological developments in automated assessment
  • Identify and analyze publications, research, and conferences in French and English
  • Synthesize and communicate insights in an accessible way to teams
  • Identify areas for improving assessment content
  • Collaborate with Product, Engineering, and Educational Content teams to implement improvements

Requirements

What you’ll need
  • Significant experience designing training programs or digital content, ideally in an educational or instructional environment
  • Proven experience using scientific methods and designing experimental protocols
  • Proficiency in data analysis methods and the ability to leverage quantitative data
  • Strong digital literacy and a keen interest in educational and pedagogical issues
  • Project management experience is a plus
  • Proficiency in querying and working with databases
  • Strong knowledge of instructional design and training engineering
  • Knowledge of at least one programming language
  • Good understanding of learning and gamification mechanisms
  • Proficiency with digital content production tools
  • Proficiency with collaborative project management and documentation tools, particularly Jira and Confluence
  • Cross-functional digital skills equivalent to Pix levels 5–6
  • Excellent writing skills and the ability to communicate complex findings clearly and accessibly
  • High level of intellectual and scientific rigor
  • Excellent analytical and synthesis skills
  • Strong organizational skills, autonomy, and ability to prioritize
  • Ability to propose solutions
  • Enjoyment of teamwork and knowledge sharing
  • Curiosity and creativity
  • Ability to adapt communication to stakeholders with varied areas of expertise

Benefits

Comp & perks
  • Meal vouchers worth €12.10 per working day, with 60% employer contribution
  • 75% reimbursement of your public transportation pass
  • 25 days of paid leave plus 20 RTT days per year
  • Year-end bonus of up to 10% of annual gross salary
  • Part-time remote work available to all employees, from anywhere in France
  • €450 allowance over three years for setting up a home office
  • Remote-work allowance of €253.44 per year (€63.36 per quarter)
  • Access to Moka Care, a platform dedicated to mental health and well-being
  • Access to more than 1,500 fitness centers at reduced rates through Wellpass
  • Unlimited access to Go1, an e-learning platform
  • Year-end gift voucher
  • Secure digital document vault with Docaposte
  • Weekly delivery of a basket of fruits and vegetables
  • Two seminars per year, after-work events, Winterfest, and other team gatherings
  • Large cafeteria and unlimited espresso
  • Onboarding program
  • Invitations to panels, demos, and design workshops