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Data Analyst


Overview

As a Data Analyst at LYNX, you will turn data into actionable insights across strategic product domains. You’ll work in a cross-functional environment to improve onboarding, capture demand, enhance client experience, and strengthen compliance processes. You own the full data-driven discovery lifecycle and deliver dashboards and models that drive growth, loyalty, and risk-aware decision-making. Your work supports smarter decisions, optimized performance, and better client journeys.

Arbeidsvoorwaarden / Benefits
  • Competitive salary
  • Fixed 13th month
  • 8% holiday allowance
  • Pension scheme fully paid by LYNX
  • Public transport travel allowance
  • Home office equipment and home office allowance and budget of 2000 per year for training? (paraphrase)
Verantwoordelijkheden
  • Own end-to-end data-driven discovery from data sourcing to modelling, dashboards, and scalable outputs
  • Translate business challenges into data-based solutions with measurable impact
  • Develop dashboards, reporting frameworks, and tracking models for ongoing decision-making
  • Partner with Product, Marketing, Operations, Compliance, and Commercial teams to convert questions into insights
  • Explore structured and unstructured data to identify patterns, risks, opportunities, and growth levers
  • Support experimentation, testing, and continuous improvement with analytical input
  • Ensure data quality, consistency, and reliability across reporting and analytics outputs
  • Contribute to squad-specific goals such as onboarding optimization, lead conversion, client loyalty, churn reduction, or smarter compliance
  • Embrace cross-functional collaboration and a proactive, ownership-driven mindset
Belangrijkste vereisten
  • Strong analytical skills with experience handling structured and unstructured data
  • Solid Python and SQL skills with advanced querying
  • Proactive, self-driven mindset with ownership of work
  • Clear communication and ability to explain complex topics simply
  • High standard for quality and attention to detail
  • Comfort working with cross-functional stakeholders
  • Motivation for continuous improvement and measurable impact
  • Curiosity
  • Proactiveness
  • Clear communication
  • Python
  • SQL
  • Dashboarding and BI tools

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