Data Analyst - CRM & Marketing

New
R
robustaFMCG, Retail, Digital Marketing
MENA, GCC, Europe, the US, and CanadaContractMiddle
Salary not disclosed
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Job Details

Experience
5–8 years
Required Skills
PythonSQLMicrosoft Power BIGoogle AnalyticsTableauMicrosoft ExcelGoogle SheetsR

Requirements

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Engineering, or a related field
  • Strong analytical thinking and problem-solving skills
  • Ability to communicate complex insights to non-technical stakeholders
  • Strong proficiency in SQL
  • Advanced Excel / Google Sheets skills (pivot tables, data modeling)
  • Experience with Power BI, Tableau, or Looker Studio
  • Basic to intermediate knowledge of Python or R
  • 5–8 years of experience in data analytics, preferably within FMCG, retail, or digital marketing environments
  • Strong understanding of consumer behavior, CRM, and marketing analytics
  • Exposure to MENA markets

Responsibilities

  • Analyze large datasets across CRM, media, and digital platforms to uncover actionable insights
  • Develop dashboards and reports to track key KPIs (acquisition, engagement, retention, conversion)
  • Translate complex data into clear, business-friendly insights for stakeholders
  • Support segmentation strategies (e.g., lifecycle, behavioral, RFM models)
  • Analyze consumer journeys across channels such as WhatsApp, email, and web
  • Identify opportunities for personalization and next-best-action strategies
  • Measure performance of CRM and digital marketing campaigns
  • Conduct A/B testing and provide data-driven recommendations for optimization
  • Collaborate with media teams to assess campaign effectiveness and ROI
  • Work closely with data engineering and tech teams to ensure data accuracy and consistency
  • Support integration of multiple data sources (CDPs, CRM platforms, media platforms)
  • Ensure proper data governance and compliance with privacy regulations
  • Partner with internal teams and stakeholders to support business objectives
  • Present insights and recommendations in a clear and compelling manner
  • Contribute to strategic initiatives such as loyalty programs and digital transformation projects
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