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OSN, part of the Anghami Inc. digital entertainment ecosystem, is seeking a motivated and analytical Business Planning Analyst to join their Financial Planning & Analysis (FP&A) team in Dubai. This full-time, on-site position plays a key role in connecting Finance, Business Intelligence (BI), and business teams to support data-driven decisions and performance optimization within the streaming industry.
Company Overview:
Anghami Inc. powers two of the MENA region’s leading platforms—Anghami and OSN+—offering premium music and video streaming. With over 120 million users and strategic partnerships with studios like Warner Bros. and NBC Universal, Anghami Inc. is transforming entertainment in the region.
Key Responsibilities:
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Collaborate across departments to develop and present business cases for new initiatives.
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Build and evaluate financial models, business plans, and customer value models.
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Monitor performance metrics such as subscriber growth, churn, ARPU, and CPA.
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Identify issues and trends, providing insights and recommending improvements.
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Act as a liaison between Finance and the BI team to ensure data accuracy and alignment.
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Translate analytical findings into strategic presentations for non-technical stakeholders.
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Support forecasting, budgeting, and variance analysis.
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Address data issues and support best practices in data governance.
Qualifications:
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Bachelor’s degree in finance, business analytics, or a related field; advanced degree preferred.
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3+ years of experience in business planning or analytics, ideally in a streaming/digital media company or management consulting.
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Strong proficiency in business modeling, Excel, and visualization tools (e.g., Power BI, Looker, Tableau).
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SQL skills and familiarity with Python or financial modeling certifications (e.g., CFA, FMVA) are a plus.
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Excellent communication and presentation skills.
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Strong problem-solving abilities and a detail-oriented mindset.
Key Competencies:
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Deep understanding of streaming business KPIs and growth metrics.
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Ability to connect finance, BI, and business teams effectively.
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Data-driven mindset with a passion for actionable insights.
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Experience in building and communicating detailed financial models.
