Data & Analytics Lead
22 hours ago
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 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 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 :
- 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)
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