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Lead Data Analyst

Vendelux

full-remoteleadpermanentdata Full remote 73 days ago via WTTJ

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Tags

SQLTableauExcelPredictive AnalyticsStatistical AnalysisData ModelingData WarehousingDashboardsBusiness IntelligenceCloud Data Warehouses

About the role

Role overview

Join Vendelux as a Lead Data Analyst to drive and execute the company’s strategic analytics roadmap. You’ll partner with executives and business teams to deliver data-driven recommendations and identify growth opportunities.

Key responsibilities

  • Define and execute the strategic analytics roadmap with executive and commercial teams.
  • Define, measure, and monitor KPIs that reflect underlying business dynamics.
  • Design and optimize data models and analytics foundations.
  • Create dashboards and reporting for business stakeholders.
  • Apply advanced analytics and predictive modeling to understand and model user behavior.
  • Communicate insights, tailor recommendations to diverse audiences, and provide guidance to junior team members.

Requirements

  • 5+ years in data analytics or business intelligence.
  • Strong ability to define business metrics, identify trends, and uncover customer/product insights.
  • Advanced skills in statistical analysis and predictive analytics.
  • Strong proficiency with SQL and analytical tools such as Excel and Tableau (or equivalent), plus experience with cloud data warehouses.
  • Excellent communication and presentation skills.
  • Ability to work independently and contextualize business performance.
  • Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Business, Finance, Engineering).

Nice to have

  • Startup experience (preferred).
  • Leadership experience and comfort mentoring within a collaborative environment.
  • Strong curiosity and ability to diagnose the underlying drivers of trends and outcomes.

About Vendelux

Vendelux is a company that builds analytics capabilities to drive data-driven decision-making and business growth. The role focuses on defining KPIs, creating dashboards, and applying advanced/predictive analytics in collaboration with executives and business teams.

Scraped 5/13/2026