BI and Data Director

2 days ago

Riyadh, Ar Riyāḑ, Saudi Arabia Saudi Pro League (SPL) Full time

As the BI & Data Analytics Director, you will be responsible for driving the strategic vision and execution of data analytics initiatives within the organization. You will lead a team of data professionals to transform data into actionable insights, helping to enhance performance, improve fan engagement, and optimize business operations.

Operational Responsibilities:

  1. Strategic Leadership:
    Lead the development and implementation of the business intelligence and data analytics strategy.
    Align analytics initiatives with overall business goals to drive performance and growth.
  2. Team Management:
    Build, mentor, and manage a high-performing team of data analysts and BI specialists.
    Foster a culture of innovation and continuous improvement within the analytics team.
  3. Data Analysis & Insights:
    Oversee the collection, analysis, and interpretation of data from various sources.
    Develop advanced analytics models and techniques to provide insights into player performance, fan behavior, and market trends.
    Partner with key stakeholders in marketing, operations, and other departments to identify analytics opportunities.
    Act as a liaison between technical teams and business users to ensure effective data communication.
    Establish and optimize reporting frameworks to deliver insights through dashboards and visualizations.
    Present findings and strategic recommendations to the executive team in a clear and impactful manner.
    Evaluate and implement data analytics tools and platforms that enhance data capabilities.
    Ensure data governance and security best practices are followed.

Education & Professional Experience:

  • Bachelor's degree in data science, Business Analytics, Information Systems, or a related field; Master's degree preferred.
  • 7+ years of experience in business intelligence and data analytics, ideally in the sports or entertainment industry.
  • Strong proficiency in analytics tools (e.g., SQL, R, Python) and data visualization software (e.g., Tableau, Power BI).

Other Knowledge & Skills:

  • Deep understanding of sports metrics and analytics methodologies.
  • Experience with machine learning, predictive modeling, and big data technologies.
  • Exceptional communication and presentation skills, with the ability to convey complex data clearly.
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