Business Analyst at Ninja

Riyadh, Riyadh Region, Saudi Arabia -

Full Time

Start Date

Immediate

Expiry Date

17 Jan, 26

Salary

0.0

Posted On

19 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Analysis, Data Analysis, SQL, Python, Data Visualization, Tableau, Power BI, Microsoft Excel, Machine Learning, Operations, Supply Chain, Sales Forecasting, Inventory Management, Logistics, Analytical Models, Stakeholder Engagement

Industry

Internet Marketplace Platforms

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. 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.

Responsibilities

The Business Analyst will conduct deep-dive analyses on operational, sales, and supply chain data to identify trends and performance drivers. They will also translate complex datasets into actionable insights and assist in developing analytical models for various business needs.