Top Data & Analytics Jobs

Lead analytics engineering initiatives, design data pipelines, develop business intelligence solutions, and ensure data governance while collaborating with stakeholders.

Lead design, build, and support of Azure-based data platforms and production pipelines using Databricks, ADF, ADLS Gen2, and Azure SQL. Implement Bronze/Silver/Gold layers, Unity Catalog governance, and Power BI semantic models and dashboards. Provide technical leadership, mentor engineers, ensure security/compliance, and optimize pipeline and report performance.

Support and validate IFP PCOR reporting applications by testing, data validation, and resolving issues. Build and maintain data validation and QA automation architecture, load and transform data, create user-friendly views, work with business stakeholders to gather requirements, and maintain data load processes and stored procedures.

Lead development, testing, and evaluation of healthcare quality measures using claims, EHR, and other data sources to support Medicare and Medicaid programs. Draft measure specifications and test protocols, manage project teams, drive business development and client engagement, track standards-setting activities, and mentor staff. Translate policy and CMS specifications into technical requirements and implementation logic.

Lead and build an integrated pharmacy analytics function to deliver KPIs, dashboards, and advanced analytics (AI/ML, predictive modeling) that improve community pharmacy operations, financial performance, and patient outcomes. Influence senior stakeholders, mentor analytics teams, set execution rhythms, and align cross-functional partners to drive measurable operational and financial results.

Lead enterprise data strategy, governance, platforms, and operating model to enable reliable, secure, and AI-ready data. Establish standards, stewardship, and shared capabilities across a federated organization, drive adoption and measurable business impact, partner with executives and compliance, and build a multidisciplinary data organization.

Lead design and implementation of scalable data pipelines in Azure Databricks using PySpark; integrate structured and unstructured data; optimize cluster performance and cost; monitor and troubleshoot Databricks workloads; manage orchestration with Airflow, Azure Data Factory, or Logic Apps.

Design, build, and operate scalable data platforms and ETL/ELT pipelines using Python, SQL, Airflow, and AWS. Optimize data warehouses, ensure data quality and governance, implement CI/CD and infrastructure-as-code, and collaborate with cross-functional teams while mentoring engineers.

Lead development and optimization of batch and real-time data pipelines using Databricks, PySpark, and Kafka on Azure. Ensure data reliability, governance, monitoring and lineage. Mentor engineers, drive architecture and CI/CD adoption, collaborate with stakeholders and AI/DS teams, and modernize platforms including Snowflake.

The Associate Manager Data Analyst will design and optimize data analytics programs and pipelines, ensure data governance, and mentor junior analysts while maintaining best practices in ETL processes and using various technologies for data engineering tasks.