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Qualifications

Qualifications

• Experience in BFSI, consulting, sales operations, strategy, business analytics, commercial analytics, or a related field.
• Bachelor’s degree in Economics, Finance, Engineering, Computer Science, or a related discipline.
• Strong analytical skills with the ability to work with large and alternate datasets, identify patterns, draw insights, and develop data-driven recommendations.
• Demonstrated experience using GenAI tools (e.g., Microsoft Copilot, ChatGPT, Claude, Gemini, Power BI Copilot, or similar) to improve analytical productivity and automate business workflows.
• Strong prompt engineering and AI-assisted problem-solving skills with the ability to identify practical use cases that drive measurable business impact.
• Proficiency in Excel and PowerPoint, with hands-on experience in Power BI, Tableau, SQL, Python, or similar analytics and visualization tools.
• Strong communication and storytelling skills, with the ability to simplify complex concepts for diverse business audiences.
• Experience creating executive presentations, strategy decks, leadership updates, or client-facing materials that effectively communicate analytical insights and recommendations.
• Ability to transform complex data, analytics, and business insights into compelling executive-ready presentations, strategic narratives, and recommendations for senior leadership.
• Ability to manage multiple priorities simultaneously, work independently, and take ownership of deliverables from problem definition through execution.
• Prior experience in a leading management consulting firm or analytics consulting environment will be considered a strong advantage.

Key Responsibilities:

• Support analysis to identify revenue growth opportunities, portfolio performance trends, market share movements, yield improvement areas, and commercial productivity opportunities across CEMEA.
• Conduct analysis across markets, clients, portfolios, and deal performance to help business teams understand performance drivers and areas requiring action.
• Translate complex datasets into simple, structured, and business-ready insights.
• Leverage GenAI platforms to accelerate analysis, streamline reporting, improve productivity, and reduce manual effort. Proactively identify opportunities to embed AI-powered workflows into day-to-day processes, enabling faster insight generation and enhanced commercial decision-making.
• Transform complex data, analytics, and business insights into compelling executive-ready presentations, strategic narratives, and recommendations that influence decision-making by senior leadership.
• Partner with cross-functional stakeholders across Sales, Product, Finance, Strategy, Technology, and Analytics to gather inputs, validate data, and support execution.
• Support documentation of frameworks, methodologies, and repeatable analytical approaches that can scale across CEMEA markets.