Core Responsibilities:
1. Data Analysis and Exploration:
a. Explore and analyze large datasets to identify trends, patterns, and insights.
b. Utilize statistical methods and machine learning techniques to extract valuable information from data.
2. Predictive Modeling:
a. Build and deploy predictive models to forecast customer behavior, sales trends, and inventory demands.
b. Optimize models for accuracy and efficiency, ensuring they can be integrated into real-time applications.
3. Data Visualization:
a. Create visually appealing and informative data visualizations to communicate complex findings to stakeholders.
b. Design interactive dashboards and reports for monitoring key metrics and business performance.
4. Collaboration and Communication:
a. Collaborate with cross-functional teams including marketing, product, and operations to identify business challenges and opportunities.
b. Present findings and insights to non-technical stakeholders in a clear and understandable manner.
Qualifications
● Proven experience in data analysis, statistical modeling, and machine learning techniques.
● Proficiency in programming languages such as Python or R for data analysis and modeling.
● Experience with data visualization tools (e.g., Tableau, Power BI) and SQL databases.
● Excellent problem-solving skills and ability to work in a fast-paced collaborative environment.
● Effective communication skills with the ability to explain complex concepts to non-technical stakeholders
● Experience with e-commerce business models
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