Data Scientist, Loyalty Exp

Overview

Key Role

• Client Engagements
• : Will be working with select clients with Retail footprint for Analytics project execution with innovative solution using data Analytics.

• Identifying Growth Opportunities

• Data Engineering Support

Analytics Use Case Ideation

• :
• Ideate and develop new analytics use cases and projects for clients.
• Lead the implementation and execution of analytics projects from conception to completion.
• Continuously identify opportunities for improving analytics processes and methodologies.

Client Engagement

• :
• Engage with clients to understand their business needs and propose suitable analytics solutions.
• Build solutions to client requirement thereby achieving business use case objectives.

Growth of Analytics Practice

• :
• Contribute to the strategic growth and development of the analytics practice.
• Stay updated with industry trends and advancements in data science and analytics.
• Implement best practices and innovative approaches within the analytics team.

Loyalty Management Projects

• :
• Provide leadership and expertise on flagship loyalty management projects with select customers.
• Ensure the successful design, execution, and management of loyalty programs.
• Analyze and interpret loyalty data to provide actionable insights and recommendations.

Expertise

• Proficiency in data analytics tools and platforms (Dataiku, SAS, Python, R, SQL, Tableau, Power BI).
• Strong understanding of data modeling, statistical analysis, and machine learning techniques.
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
• Strong analytical and problem-solving skills with the ability to derive insights from complex datasets.
• Excellent leadership and team management skills.
• Strong communication and presentation skills.
• Ability to engage with clients and understand their business requirements.
• Problem-solving mindset with a focus on delivering practical and impactful solutions.