Top Data & Analytics Jobs in New Delhi, DL

The Data Modeller I translates business requirements into scalable data models, ensuring consistency, integrity, and adherence to best practices while optimizing for performance and scalability.

The Data Engineer will design, build, and maintain ETL/ELT pipelines, ensuring data quality, security, and compliance while collaborating across multiple teams.

Design, build, and validate advanced ML and NLP solutions (including LLMs and OCR). Apply statistical methods, feature engineering, and optimization to improve model performance. Collaborate with stakeholders to operationalize insights via Power BI, ensure GDPR compliance, and mentor/lead team members while driving technical design and innovation in generative AI and predictive modeling (churn, lead scoring).

The Senior Data Analyst will oversee data and analytics solutions, mentor other analysts, author functional requirements, and collaborate across teams. They must analyze data and contribute to data governance and architecture.

Develop and deliver reports and dashboards using Power BI or Cognos, design functional requirements, and optimize performance across data analytics solutions.

The Senior Data Analyst will develop data solutions, analyze data contexts, mentor analysts, and collaborate with business and technology teams, requiring strong SQL and Big Data expertise.

The Senior Data Modeler II translates business needs into scalable data models, ensuring data integrity while leading teams and collaborating across departments.

No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.

The Data Governance Analyst II develops standards, applies policies, manages metadata, supports data governance issues, and collaborates across teams.

The Data Modeler I translates business requirements into scalable data models, ensuring data integrity and applying best practices for analytics solutions in both on-prem and cloud environments.