Overview
Job Description
Description
Shape the Future of AI. Transform the World's Leading Businesses.
Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.
We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India
At Tiger Analytics, we don't just help businesses adapt to the future-we help them build it
We are seeking experienced Analytics Consulting professional with a strong background in Data Science and proven capabilities in project planning, coordination, and delivery. The ideal candidate will combine analytical expertise with consulting skills to drive data-driven business decisions, manage stakeholder expectations, and deliver impactful analytics solutions.
Responsibilities:
- Lead analytics consulting engagements, leveraging Data Science and advanced analytics techniques to solve complex business problems.
- Manage end-to-end project planning, execution, coordination, and delivery while balancing hands-on consulting responsibilities.
- Work closely with business stakeholders to understand requirements, define analytical problem statements, and translate business needs into actionable insights.
- Develop and implement data-driven solutions, analytical models, and recommendations to support business strategy and decision-making.
- Coordinate cross-functional teams to ensure timely delivery of project milestones, quality standards, and expected business outcomes.
- Present analytical findings, insights, and recommendations to senior stakeholders in a clear and business-oriented manner.
- Contribute to pricing analytics initiatives, including pricing strategy, optimization, and performance analysis, where applicable.
- Collaborate with technology teams to leverage cloud-based analytics platforms and modern data engineering capabilities.
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