Data Analyst Content & User Growth

Fuku

Dubai

In loco

AED 120.000 - 240.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Fuku is seeking a data analytics professional to lead content performance analytics and monetization insights in Dubai. The role involves building scalable data foundations, real-time metrics, and cross-functional collaboration with content, product, and growth teams.

The ideal candidate demonstrates strong SQL skills, hands-on BI tool experience (Looker/Power BI/Tableau), and a data-driven approach to optimizing user engagement and monetization in a regional/global context.

Competenze

  • Experience in data analysis or data operations, preferably within content platforms or growth-focused environments.
  • Strong proficiency in SQL and hands-on experience with BI tools (Looker/Power BI/Tableau).
  • English as working language; Arabic skills are a plus.

Mansioni

  • Build a real-time, unified data framework with core metrics and definitions.
  • Design and maintain dashboards and reports on content performance, funnels, retention, and monetization.
  • Conduct in-depth analyses of content/projects and provide performance evaluations and optimization recommendations.
  • Develop user profiling and segmentation models to support cross-functional strategies.
  • Identify churn/drop-off points and drive cross-functional improvement initiatives.

Conoscenze

SQL
Data analysis
Problem solving
Communication

Strumenti

Looker
Power BI
Tableau

Descrizione del lavoro

Company Overview

Our client is a leading international media and digital content platform with a strong footprint across Asia and an expanding presence in the Middle East. The company operates large-scale content ecosystems including long-form content, short-form video, and subscription-based products, and is actively strengthening its data-driven decision-making capabilities to support regional growth. This role will focus on content performance, user behavior, and commercialization analytics, working closely with content, product, and growth teams.

Key Responsibilities
  • Build a quantifiable, real-time, and accurate data framework, including unified core metrics, data definitions, and monitoring mechanisms.
  • Design and maintain core dashboards and daily/weekly reports covering content performance, conversion funnels, retention/churn, and monetization metrics.
  • Conduct in-depth analysis on key content, projects, and campaigns (e.g., major shows, short-form content, or regional initiatives), providing performance evaluation, issue diagnosis, and optimization recommendations.
  • Develop user profiling and segmentation models, establishing tagging systems, audience clusters, and preference insights to support content, product, and operations strategies.
  • Identify critical churn and drop-off points across the user journey, drive cross-functional improvement initiatives, and track post-optimization results.
Requirements
  • Experience in data analysis or data operations, preferably within content platforms, internet products, or growth-oriented environments.
  • Strong proficiency in SQL; hands-on experience with BI tools such as Looker, Power BI, Tableau, or similar.
  • Python experience is a plus.
  • Clear logical thinking with the ability to articulate a full loop of problem → metrics → insights → actions → review.
  • Strong communication and stakeholder management skills, able to collaborate effectively with product, content, and operations teams.
  • English as a working language is required.
  • Familiarity with Middle Eastern users or Arabic language skills is a strong plus.
Why This Role
  • High-impact role directly supporting content and user growth strategy.
  • Exposure to regional and global stakeholders in an international organization.
  • Opportunity to build scalable data foundations and analytics frameworks from the ground up.
  • Competitive compensation and long-term development potential.
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