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Business Analyst

Business Analyst

NinjaRiyadh, Riyadh Province, SA
12 days ago
Job type
  • Quick Apply
Job description

As a Business Analyst at Ninja, you will be ideal for an early-career professional passionate about using data to solve real-world business challenges. You will work closely with various departments to analyze data, generate insights, and support data-driven decision-making, with a particular focus on improving our operational and supply chain efficiencies. The successful candidate will leverage their programming skills in SQL and Python to build robust analytical solutions.

Key Responsibilities :

  • Conduct deep-dive analyses on operational, sales, and supply chain data to identify key trends, performance drivers, and areas for improvement.
  • Translate complex datasets into meaningful patterns and actionable insights regarding inventory management, logistics, and sales forecasting.
  • Evaluate business processes and perform gap analysis to recommend data-driven solutions and process enhancements.
  • Utilize SQL and Python to efficiently extract, cleanse, and manipulate large, complex datasets from various sources for analytical purposes.
  • Design, build, and maintain interactive dashboards and reports using tools like Tableau or Power BI to track critical KPIs.
  • Assist in the development and validation of analytical models for demand forecasting, stock optimization, and other business needs.
  • Partner with stakeholders across Operations, Merchandising, and Finance to gather business requirements and define project objectives.
  • Clearly communicate analytical findings and strategic recommendations to both technical and non-technical audiences through compelling presentations and reports.
  • Act as a bridge between business teams and the data team to ensure analytical projects are aligned with strategic company goals.

Requirements

  • 1-2 years of professional experience in a Business Analyst, Data Analyst, or a similar analytical role.
  • Strong proficiency in SQL for complex data querying and manipulation.
  • Proficiency in Python and its data analysis libraries (e.g., Pandas, NumPy).
  • Experience with data visualization tools like Tableau or Power BI.
  • Advanced skills in Microsoft Excel.
  • Machine Learning : Hands-on experience or a strong theoretical understanding of machine learning models and concepts will be considered a significant advantage.
  • Domain Knowledge : A working knowledge of Operations and Supply Chain principles and metrics would be a plus.
  • Industry Experience : Previous experience in the retail, e-commerce, or logistics industry is highly desirable.
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    Analyst • Riyadh, Riyadh Province, SA

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