Top Data & Analytics Jobs

The Manager of Data Analytics leads a team of analysts, managing analytics delivery, providing guidance, and enhancing processes for improved operational insights.

Analyze and resolve user tickets, profile source systems, design ETL mappings, develop and support ETL pipelines in Azure (ADF/Databricks), perform SQL performance tuning, create test cases and technical documentation, lead and mentor the team, and apply AI/ML techniques to accelerate the SDLC.

Design, build, and maintain scalable batch and streaming data pipelines and data models using Python/PySpark, Snowflake, and cloud platforms. Optimize performance, implement orchestration (Airflow), enforce data governance/metadata standards, create data quality frameworks, support CI/CD and DevOps, monitor production pipelines, and collaborate with stakeholders to evolve the enterprise data platform.

Operate and improve enterprise data pipelines: monitor pipeline health, detect anomalies, triage incidents, perform root-cause analysis, build monitoring dashboards, refactor pipelines for stability and performance, and collaborate on Azure-based platform optimizations to ensure trusted production-ready data for planning and reporting.

Design, build, and maintain ETL/ELT data pipelines and processing jobs (PySpark/SQL) on cloud platforms (Azure, Databricks, Snowflake). Ensure data quality, governance, monitoring, and automation; partner with analytics and infrastructure teams to productionalize analytic pipelines and support platform architecture.

Lead migration of Excel-based actuarial and pricing tools into scalable platforms. Translate actuarial and business requirements into technical solutions, ensure accurate auditable outputs, develop coding standards and testing, provide consultancy to underwriters, and mentor junior analysts.

Design, develop, and deploy AI-powered solutions and manage data infrastructure. Responsibilities include Snowflake administration, performance engineering, operations/on-call support, automation/DevOps, lifecycle management, security and compliance, monitoring, backup/recovery, incident/change management, SQL development, and hands-on Python coding.

The Lead Data Governance Specialist will drive data governance, ensuring compliance and data quality, training teams, and partnering with Product and Engineering to embed governance in workflows.

Lead pricing strategy and analysis for healthcare networks, utilizing data to optimize pricing models and engage stakeholders. Implement automation and enhance workflow efficiencies.

Design, build, and operationalize CRM Analytics and Data Cloud insights. Develop dashboards, data models, and analytics solutions while embedding AI capabilities and ensuring data maturity for optimal performance.