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Keyrus

Product Analyst

Keyrus

. Collect, analyze, and interpret data from web and mobile platforms, commercial activity, and Salesforce CRM .

Posted 10/13/2026full-timeLyon • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis techniques, statistics, and modeling, with a strong command of SQL and data visualization tools like Power BI. Capable of collaborating across product, marketing, and technology teams to drive data-driven decision-making and improve customer experience.

Highest-signal resume keywords
Data AnalysisAdvanced SQLPower BI ProficiencyWeb Analytics ToolsSalesforce Knowledge

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 Analysis TechniquesStatisticsModelingSQLBigQueryDataformGoogle Apps ScriptData VisualizationPiwikGoogle Tag Manager
Soft Skills
CuriositySelf-SufficiencyInitiativeCommunication
Tools & Technologies
Salesforce CRMPower BIDeepnoteGoogle Apps ScriptPiwikGoogle Tag Manager
Industry Keywords
Digital ProductsConsumer ServicesInsuranceData-Driven Culture

Tech Stack

Tools & technologies
BigQuerySQL

About the role

Key responsibilities & impact
  • Collect, analyze, and interpret data from web and mobile platforms, commercial activity, and Salesforce CRM
  • Identify trends, pain points, and growth opportunities
  • Build and maintain dashboards to track platform KPIs
  • Measure the impact of new features using Power BI, Deepnote, and Google Apps Script
  • Answer questions from Product Managers, Marketing, and business teams through ad hoc analyses
  • Make recommendations to improve the customer experience, platform performance, and ROI of product initiatives
  • Collaborate with data, web development, and Salesforce teams to ensure data quality and availability
  • Help foster a data-driven culture within product teams
  • Complete an initial multi-month assignment with a leading consumer services company, then continue on other Product and Data Analytics assignments

Requirements

What you’ll need
  • At least 5 years of experience in data analysis, ideally involving digital products or platforms
  • Experience using analysis to support decision-making, not just to produce reports
  • Experience in insurance or services is a plus
  • Ability to clearly explain analyses to non-technical stakeholders
  • Curiosity about the business challenges and objectives of digital platforms
  • Self-sufficiency and initiative
  • Comfortable working with product, marketing, business, and technology teams
  • Available to start the first assignment at short notice
  • Strong command of data analysis techniques, statistics, and modeling
  • Advanced SQL, ideally with BigQuery, and experience with Dataform
  • Proficiency in data visualization, particularly Power BI
  • Proficiency with web analytics tools: Piwik, Google Tag Manager, and consent management platforms (CMPs)
  • Experience creating Google Apps Scripts, including with generative AI (Claude)
  • Knowledge of Salesforce is a plus

Benefits

Comp & perks
  • A multicultural, enriching environment that supports international mobility
  • Initiative and teamwork are valued
  • A variety of Product and Data Analytics assignments
  • Opportunities to work across a range of client environments