Key Responsibilities -

Analytics Capability Development

• Be able to train people on AI / analytics/ Data management/ cloud-based tools and capabilities.
• Be familiar with statistical methods and modeling capabilities
• Be able to train people on how to conduct data extraction, cleansing, modeling and insight generation to drive business results
• Own needs assessment, design and development, deployment and measurement of learning and technical talent programs for digital capabilities
• Plan and deploy digital / analytics capability development curriculum, certifications and calendar, develop new learning materials with digital capability as an outcome
• Can train on Visualization tools and provides input to the development of key metrics for a dashboard
• Provides guidance, training and problem-solving assistance to learners
• Works on multiple tasks/projects as team member
• Demonstrates Critical thinking and agility for Analytics / Digital capability development priorities.
• Works on multiple tasks/projects as a team member
• Ability to manage stakeholder interactions, handle emails, coordinate meetings, and effectively communicate project updates and outcomes.
• Ability to work and collaborate effectively with multiple teams, including cross-functional and geographically distributed teams, to drive project success and achieve shared business goals.

Candidate Profile:

• Typically requires 4 - 12 years of experience in Data Science, AI/ML with Python, SAS or R
• Hands-on experience with SQL and relational databases is essential.
• Strong problem-solving and analytical abilities.
• Excellent communication skills, both written and verbal.
• A Master’s degree or Bachelor’s degree in Computer Science, AI, ML, Data Science, Information Systems, Business Management, or relevant certifications
• Expertise to train in AI, Data Science, Computer Science, or related fields is preferred but not mandatory.
• Knowledge of one or more business functional areas. Prior experience in the Insurance, Banking or Financial domain is a plus.
• Hands-on experience in implementing analytics solutions.
• Ability to train others in managing the complete analytics project lifecycle.
• Proficiency in statistical methods and modeling, with the ability to provide training in these areas.
• Familiarity with Learning Management Systems (LMS) for content creation, management, and delivery.
• Capable of designing and developing training modules, tracking learner progress, and ensuring effective learning experiences.
• Proficient in integrating various learning tools and technologies to enhance training outcomes and support continuous learning initiatives.

Technical Skills and Experience:

• Experience with data collation and management using Advanced Excel (including Visual Basic/Power Query).
• Strong knowledge of MySQL, SQL Server, or MS Access.
• Proficiency in data visualization tools such as Tableau, Power BI, or QlikView (any one or more)
• Familiarity with AI, ML, and / or technologies.
• Expertise in at least one analytics programming language (Python, SAS, or R).
• Knowledge of cloud platforms such as AWS, GCP, or Azure is a plus.