Mirakl

Analytics Engineer

Mirakl

full-time

Posted on:

Location Type: Remote

Location: France

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

SQLTableau

About the role

  • Build data products that move the business forward
  • Partner with product and business stakeholders to understand needs, constructively challenge requirements, and ensure data products deliver actionable value
  • Develop and maintain scalable data models, a comprehensive semantic layer (documentation), and robust transformation pipelines to convert raw data into analytics-ready datasets
  • Build and maintain dashboards that guarantee reliable access to key performance indicators
  • Shape the future of analytics at Mirakl
  • Enable self-service analytics and emerging agentic solutions that empower users to independently discover insights and optimize workflows
  • Drive adoption of analytics solutions through user training, responsive support, and incident resolution
  • Continuously refine data solutions and workflows by monitoring usage metrics and gathering user feedback to improve quality, reliability, and usability.

Requirements

  • 3+ years as an Analytics Engineer or in a similar data & analytics role
  • Proficiency in SQL for data manipulation and automation
  • Experience with dbt and a deep understanding of modern analytics engineering practices (version control, automated testing, CI/CD)
  • Ability to apply advanced analytics methods (cohort analysis, time series forecasting, etc.)
  • Data visualization expertise with tools such as Metabase, Superset, Tableau, or similar
  • Strong problem-solving skills, attention to detail, and the ability to work in a fast-paced environment
  • Excellent communication skills for working with technical and non-technical stakeholders
  • Proficient in professional English, both written and spoken.
Benefits
  • Real impact: Your work directly influences business decisions, go-to-market strategy, and company direction
  • Growth trajectory: As we scale, so do the challenges and your opportunities
  • Modern stack: We invest in best-in-class tools and emerging AI/agentic technologies
  • Collaborative culture: Work with smart, driven people across product, engineering, and business teams
Applicant Tracking System Keywords

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

Hard Skills & Tools
SQLdbtanalytics engineeringdata manipulationautomated testingCI/CDcohort analysistime series forecastingdata visualizationdata modeling
Soft Skills
problem-solvingattention to detailcommunicationcollaborationuser trainingsupportincident resolutionfeedback gatheringadaptabilitycritical thinking