Back
Mid-level generalist analytics role in Bangalore with GenAI skills attracts many qualified applicants.
Data engineering, analytics, and GenAI skills transfer easily across industries.
Explicit 5–7 years plus mandatory SQL, data modeling, cloud, and GenAI experience increases filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own data solution delivery spanning AI integration and traditional data analytics to transform business operations.
Collaborate directly with global business units to convert ambiguous objectives into impactful AI/Data use cases and lead prototyping and deployment of AI applications including LLM-powered tools.
Contribute to solution architecture, define data modeling standards, build executive dashboards translating complex algorithms into business insights, and maintain comprehensive documentation.
5–7 years of experience deploying data solutions and generative AI in business contexts.
Bachelor’s or Master’s degree in quantitative or business-related field, or equivalent experience.
Expert-level SQL skills, dimensional data modeling experience, and scaling enterprise cloud data platforms.
Hands-on experience with large language model (LLM) APIs or predictive modeling techniques.
Operates effectively at the intersection of AI technology and business strategy, enabling company-wide transformational change.
Experienced in stakeholder engagement with ability to translate complex challenges into actionable data solutions, driving adoption of AI across non-technical audiences.
Comfortable working forward-deployed within global business units and contributing to both technical architecture and executive communication.