https://bayt.page.link/bmLgQU7Y9zymGJyw5
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الوصف الوظيفي

About the Company


Jeeny is a leading ride-hailing platform that strives to revolutionize daily commuting and transportation. Our app connects users with their preferred modes of transportation, making mobility accessible, convenient, and affordable for all.


We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Since our inception, we have grown exponentially and currently operate in Saudi Arabia and Jordan.


At Jeeny, we value innovation, teamwork, and a passion for delivering exceptional user experiences. Join us in our mission to transform the transportation landscape.


Job Brief:


Jeeny is looking to hire a Data Analyst who will be instrumental in transforming our performance data into actionable insights. This role will involve interpreting complex data and providing clear, strategic recommendations that drive our business decisions.


The ideal candidate will focus on marketing performance but also contribute to broader analytical needs across the company. They’ll work closely with various departments, helping to optimize our marketing strategies and support data-driven decisions company-wide.


Key Responsibilities:


  • Analyze and interpret data across multiple business functions, with a primary focus on marketing performance.
  • Track, report, and optimize the performance of digital marketing campaigns, including social media, paid ads, and other business-focused objectives.
  • Collaborate with different departments to understand their data needs and provide actionable insights.
  • Create and maintain dashboards and reports to communicate performance and opportunities across the business.
  • Conduct competitor analysis and market research to support strategic planning.
  • Develop A/B testing campaigns to enhance marketing effectiveness and customer experience.
  • Provide insights on customer journey, user behavior, and conversion optimization.
  • Forecast trends and support budgeting processes with data-driven recommendations.

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