Business Intelligence Analyst

1 week ago

Amman, Amman, Jordan LikeCard Full time 18,000 - 25,000 per year

Job Summary:

We are looking for a Data Analyst to support business growth by analyzing data and providing actionable insights. Responsibilities include analyzing key metrics such as GMV, profitability, and customer retention, building dashboards using Tableau or Power BI, and supporting Marketing, Product, and Commercial teams with accurate and timely reports. The role also involves improving cohort and attribution models and ensuring data accuracy in collaboration with the Data Engineering team.

Key responsibilities:

  • Analyses large datasets to identify trends, gaps, and growth opportunities
  • Conduct deep dives into GMV, GP, AOV, ASP, retention, conversion funnels, and campaign ROI
  • Build, automate, and maintain dashboards using Tableau, Power BI, or similar tools
  • Translate business questions into analytical frameworks and communicate insights clearly
  • Track performance against targets and proactively flag out-of-stock losses, pricing shifts, and underperforming products
  • Collaborate with Product, Marketing, and Commercial teams to support initiatives with timely and actionable insights
  • Support weekly/monthly reporting, bridges (GMV, GP, PM%), and KPI packs for country and category managers
  • Own and improve cohort models, attribution frameworks, and retention tracking
  • Partner with Data Engineering to validate metrics, troubleshoot inconsistencies, and ensure dashboard accuracy


Requirements Requirements:
  • 1–3 years of experience in BI, Analytics, or a data role (eCommerce, fin-tech, or marketplaces preferred)
  • Proficiency in SQL (BigQuery, Azure, or similar cloud DWHs)
  • Hands-on experience with Tableau, Power BI, Looker, or other BI tools
  • Strong analytical thinking and ability to turn complex data into clear business recommendations
  • High comfort with Excel/Google Sheets for quick modeling and ad-hoc analysis
  • Solid understanding of key marketplace metrics: GMV, GP, AOV, CAC, ROAS, retention, OOS, CLTV
  • Strong collaboration skills and ability to communicate with non-technical stakeholders
  • Experience working with marketing and attribution platforms (GA360, Adjust, ) is a strong plus
  • Bonus: Familiarity with data modeling (fact/dim tables, star schema) and metric layer governance


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