Data & Analytics Lead

Qualifications : 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 Responsibilities :

• Oversee the design and implementation of analytics frameworks for platform performance monitoring and user behaviour analysis, aligning with our 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 ours data lake and warehouse, ensuring unified analytics across all linked government 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 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.

(ref : hirist.tech)