Data Scientist, Loyalty Exp

Sol Analytics

Roles and Responsibilities:

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: Discover potential avenues for client growth through data analytics, technology implementation, and introducing cutting-edge data solutions, including Large Language Models (LLMs).
• Data Engineering Support: Assist in data engineering projects focused on building data transformation pipelines on cloud platforms.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.