Data & Analytics Lead

Qualifications :

B.Tech./M.Tech/M.S./PhD in Computer Science, Statistics, Mathematics, Economics, or related quantitative field (advanced degree preferred).

Minimum 8+ years of experience in data analytics, business intelligence, or quantitative research, including at least 3 years leading analytics initiatives.

Key Responsibilities :

- Oversee development of real-time dashboards for tracking skill acquisition, certification rates, employment outcomes, and scheme effectiveness across government programs.

- Establish data governance protocols ensuring compliance with data privacy regulations (including the Digital Personal Data Protection Act) while managing sensitive citizen data.

- Drive predictive analytics initiatives to forecast skilling demands, optimize resource allocation, and identify emerging skill gaps in the workforce.

- Collaborate with cross-functional teams to translate complex data insights into actionable policy recommendations for MSDE and stakeholders.

- Oversee data quality assurance processes across integrated platforms, ensuring accuracy and consistency of datasets.

- Design and implement advanced analytics models for personalized learning pathways, career guidance recommendations, and other data-driven services on the platform.

- Coordinate integration of data from external systems (e.g., Aadhaar eKYC, DigiLocker, PFMS) into ours data lake and warehouse, ensuring unified analytics across all linked government platforms.

Essential Skills :

- Data lake/warehouse & stores : S3, Redshift/Snowflake, SQL/NoSQL (Postgres, Mongo, Cassandra).

- BI & reporting : Power BI.

- Advanced analytics : Python/R for ML, NLP, forecasting and experimentation.

Desirable Skills :

- Delta/Iceberg lakehouse patterns; Glue Catalog familiarity.

- MLOps (SageMaker/MLflow) and unstructured/NLP analytics.

- Certifications : AWS Data Analytics, Azure Data Engineer, Power BI.

- Prior public-sector/government analytics experience.