Business Analytics and Delivery Skills
- Requirement gathering, stakeholder management, and structured problem solving
- Data analysis, visualization, and exposure to AI-enabled tools (Power BI, Tableau, Excel)
- Define data needs, perform data preparation, and support AI-driven reporting
- Process analysis, documentation, and identification of improvement opportunities
- Executive-ready presentation and structured storytelling skills
- Understanding of governance, coordination, and delivery tracking
- Translate data and process insights into clear, actionable outcomes
Solution Shaping, Domain & AI-Enabled Capabilities
- Translate business problems into data-driven or AI-enabled solution opportunities
- Identify and evaluate use cases based on feasibility, impact, and data availability
- Apply domain context to guide solution outputs, quality expectations, and controls
- Define high-level solution approaches, workflows, and decision frameworks
- Conduct Current state assessments and documentation and recommend AI enabled future state
- Apply domain understanding to improve accuracy, consistency, and relevance of AI-generated outputs
- Support development of phased implementation plans aligned to business priorities
- Define validation approaches, checkpoints, and human intervention points where required
- Review and validate solution outputs to ensure alignment with business expectations
Support adoption through clear documentation, training inputs, and feedback incorporation
- Participate in end-to-end delivery of AI-enabled consulting engagements—from proposal through final outputs
- Structure problem statements, define analytical approaches, and translate findings into actionable recommendations
- Analyze business processes and operational data to identify inefficiencies, root causes, and improvement opportunities
- Conduct stakeholder workshops to capture processes, pain points, controls, data touchpoints, and AI enablement areas
- Develop current- and future-state artifacts (process maps, SOPs, journey maps, RACI) aligned to AI-driven transformation
- Perform data analysis and work decomposition to quantify impact, benefits, and business case value
- Create executive-ready presentations, narratives, and deliverables for senior stakeholders
- Collaborate with cross-functional teams to validate insights, shape AI-driven solutions, and track emerging AI and industry trends
- Bachelor’s degree (preferably in Business Administration or related field)
- 1–3 years of experience in business analysis, consulting, analytics, or related roles
- Strong analytical thinking and structured problem-solving skills
- Experience in stakeholder interaction and requirement elicitation
- Proficiency in Excel, PowerPoint, and at least visualization tool (Power BI / Tableau)
- Strong communication skills (written and verbal)
- Understanding of process improvement, data analytics, and digital transformation concepts
- Prior work experience and knowledge in the Insurance domain will be preferred
- Experience in working with AI tools and applications will be an advantage
