Business Analyst

Ninja

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.

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.