About Us

Anghami is the leading multi-media technology streaming platform in the Middle East and North Africa ('MENA') region, offering a comprehensive ecosystem of exclusive premium video, music, podcasts, live entertainment, audio services and more. Since its launch in 2012, Anghami has led the way as the first music streaming platform to digitize MENA’s music catalog, reshaping the region's entertainment landscape. In a strategic move in April 2024, Anghami joined forces with OSN+, a leading video streaming platform, forming a digital entertainment powerhouse. This pivotal transaction strengthened Anghami's position as a go-to destination, boasting an extensive library of over 18,000 hours of premium video, including exclusive HBO content, alongside 100+ million Arabic and International songs and podcasts. With a user base exceeding 120 million registered users and 2.5 million paid subscribers, Anghami has partnered with 47 telcos across MENA, facilitating customer acquisition and subscription payment, in addition to establishing relationships with major film studios, entertainment giants, and music labels, both regional and international. Headquartered in Abu Dhabi, UAE, Anghami operates in 16 countries across MENA, with offices in Beirut, Dubai, Cairo, and Riyadh.

We believe in data-driven innovation, cross-functional collaboration, and a culture of continuous learning.

Job Summary

We are seeking a detail-oriented and results-driven Data Analyst with 3–5 years of professional experience. In this role, you’ll be responsible for transforming complex data into actionable insights that support strategic decision-making across the organization.

Key Responsibilities

• Analyze large datasets to identify trends, patterns, and actionable insights that drive business performance - with a primary focus on subscription-related metrics (e.g., acquisitions, resurrections, churn, revenues, MRR, ARPU, LTV) and user engagement (e.g., content streaming behavior, session frequency, retention).
• Perform cross-analysis, user segmentation, and classification to identify behavioral patterns, target cohorts, and optimize user lifecycle strategies (e.g., acquisition channels, churn risk, high-LTV segments) ; Leverage segmentation and classification techniques to group users by behavior, value, and lifecycle stage, enabling more targeted marketing, retention, and content strategies.
• Build dashboards, reports, and visualizations (such as Tableau, Power BI, or Looker).
• Work closely with cross-functional teams (Product, Marketing, Finance, etc.) to define data needs and deliver analytical solutions.
• Translate business questions into analytical problems and provide recommendations based on data.
• Perform data validation, cleaning, and transformation (ETL/ELT flows) to ensure data accuracy and integrity.
• Assist in designing and implementing data collection processes and best practices.
• Communicate findings clearly and concisely to both technical and non-technical stakeholders.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
• 3–5 years of experience in a data analyst or business intelligence role.
• Highly proficient in SQL and working with relational databases (AWS Redshift, MySQL).
• Proficiency in scripting language, mainly Python and PySpark.
• Experience with data visualization tools (e.g., Tableau, Power BI, and ideally Looker).
• Strong analytical thinking and problem-solving skills.
• Solid understanding of statistical methods and data modeling techniques, including dimensional modeling (e.g., star and snowflake schemas) and third normal form (3NF) entity-relationship (ER) modeling.
• Proficiency in Excel.
• Excellent communication and presentation skills.

• Experience working with cloud-based data platforms (AWS : S3, Redshift).
• Exposure to tools like Airflow, or other data engineering workflows.