Job Title: Data & Analytics Lead
Experience
8+ Years
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 the design and implementation of analytics frameworks for platform performance monitoring and user behaviour analysis, aligning with SIDH's objectives as a Digital Public Infrastructure.
- 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 SIDH's data lake and warehouse, ensuring unified analytics across all linked government platforms.
Essential Skills:
- Data engineering & orchestration on AWS: Informatica 10.5.4, Airflow, Jenkins, Kafka, PySpark/Spark.
- 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:
- Tableau/QuickSight and Elasticsearch for alternate analytics/search.
- 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.
