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.
Proficiency in Excel, SQL, and at least one of Python/R
Strong analytical and problem-solving skills
Ability to communicate complex results to non-technical stakeholders
Understanding of statistics and data modeling
Tool like informatica, ETL Process, Datamart, Datalake

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.

Skills: etl,digital,kafka,advanced,ml,python,jenkins,sql,airflow,government,aws,data analytics,nlp,pyspark/spark,power bi,data lake/warehouse

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Data & Analytics Lead