Senior Consultant - Customer Analytics - Retail

• Sr Con - Customer Analytics
• Minimum 5 years of experience in data analysis, with a focus on customer retail datasets.
• Responsibilities:

• Demonstrate strong SQL and Python skills for data extraction and analysis.
• Conduct exploratory, descriptive, quantitative, and qualitative analyses on large sets of retail customer data.
• Perform statistical analysis to derive meaningful insights; have an analytical mindset and work with customer datasets, demonstrating a deep understanding of retail customer behaviour and preferences.
• Strong experience with post campaign analysis, with an ability to generate meaningful insights to optimize marketing strategies.

• Strong PPT & Excel skills to create visually engaging presentations that convey complex findings in a clear and actionable manner. Collaborate with cross functional teams to identify data driven opportunities for business improvement.

• Qualifications:
• 1. MBA in a related field. Minimum 5 years of experience in data analysis, preferably in a retail environment.
• 2. Expert in SQL, Python, and statistical analysis.
• 3. Expertise in exploratory and descriptive analysis techniques, strong quantitative and qualitative analytical skills.
• 4. Prior experience in campaign analytics, with a focus on optimizing marketing efforts. Familiarity with customer datasets and understanding of retail customer behaviour.
• 5. Excellent communication skills to articulate complex data findings to diverse audiences.
• 6. Strong proficiency in PowerPoint and Excel.
• 7. Proven ability to drive insights from data to enhance business strategies.

8. Additional Preferred Qualification: Experience in predictive analytics and forecasting. Knowledge of machine learning techniques applicable to retail analytics. Familiarity with data visualization tools.