Growth Analytics Manager Careem Dubai UAE

Full time @Careem
  • Dubai, UAE View on Map
  • Post Date : March 22, 2024
  • Apply Before : January 24, 2025
  • Salary: د.إ600,015,000.0 - د.إ600,015,000.0 / Monthly
  • 0 Application(s)
  • View(s) 21
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Job Detail

  • Job ID 11835
  • Career Level  Intermediate
  • Experience  Fresh
  • Gender  Female|Male

Job Description

Careem UAE is currently accepting applications from desirous candidates for the job of Growth / Business Analytics Manager in Dubai. This role is at the heart of Careem Plus department. With a focus on deep analytics, cross-functional collaboration, and fast-paced delivery, this role requires an individual who can merge strategic insights with tactical execution across all Careem verticals.

Role of Growth Analytics Manager

To ensure Careem subscription program remains ahead of the curve and constantly delivers value to the subscribers.

Tasks of Growth Analytics Manager

  • Direct and drive analytics operations related to Careem Plus across different cities and Careem services.
  • Produce and leverage insights to rapidly grow and improve program construct and user experiences.
  • Develop and refine commercial, product, and growth strategies by extracting and interpreting complex datasets.
  • Architect and refine dashboards, ensuring key metrics are accessible, understandable, and actionable for all relevant stakeholders.
  • Collaborate across teams to optimize Careem Plus initiatives based on data-driven insights.
  • Engage deeply with company’s data warehouse, ensuring its robustness, relevance, and efficiency.
  • Manage ETL processes, ensuring data integrity and timely availability for business operations.
  • Continuously challenge the status quo, probing the “So What’s” behind every piece of data and insight.

What you’ll need

  • A Bachelor’s Degree.
  • 5-7 years experience in diverse business environments, understanding market dynamics, user behaviors, and business strategies.
  • Subscription program experience is a plus but not mandatory.

Knowledge & Skills

  • Proficiency in handling data warehouses, managing ETL processes, and ensuring seamless data flow and integrity.
  • Strong grounding in statistical analyses, SQL, and Python scripting.
  • Proficiency in tools like Tableau, transforming raw data into comprehensible visual insights.
  • Demonstrated ability to work in cross-functional teams, bridging gaps between data, tech, product, and marketing.
  • Proficiency in A/B testing, uplift calculations, and other statistical analysis.
  • An innate ability to transform data into actionable business strategies and roadmaps.

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