Top Data & Analytics Jobs

Leads the design, development, and maintenance of scalable batch and real-time data pipelines across Azure and on-premises environments. Builds production-grade ETL/ELT solutions, optimizes performance and reliability, ensures data quality and compliance, and solves complex business problems. Collaborates with business and technology stakeholders, leads solution design and estimation, and coaches data and analytics talent.

Leads data quality activities across the analytics lifecycle, including profiling, validation, anomaly detection, pipeline monitoring, testing, and quality reporting. Builds data quality rules and artifacts, collaborates with business and technology stakeholders, leads solution design and estimation, and mentors Data Quality Analysts. Works with large on-premises and cloud datasets across data lakes, warehouses, and marts.

Leads enterprise data and analytics strategy, architecture, modernization, and delivery across cloud and on-premises environments. Oversees data platforms, engineering, integration, governance, quality, lineage, security, and compliance. Partners with executives to define roadmaps and investments, manages cross-functional teams and vendors, enables AI/ML capabilities, and mentors data professionals while driving scalable, trusted data solutions and measurable business outcomes.

Develops and maintains Access databases, SQL reports, Cognos and Power BI dashboards, SharePoint solutions, and operational workflows. Analyzes transactional, financial, staffing, productivity, and performance metrics; validates data; creates projections and regulatory reports; and presents findings to senior leadership. Partners with stakeholders and IT to gather requirements, improve processes, automate workflows, ensure data integrity, and support compliance and business operations.

Undergraduate interns will support data and analytics projects involving data pipelines, machine learning, generative AI, dashboards, reporting, data governance, process improvement, production support, and analytics solution development. Interns will collaborate cross-functionally, document data assets, validate data, and present project outcomes. The hybrid program requires approximately 40 hours weekly for ten weeks in Cary, North Carolina.

Designs, builds, maintains, and optimizes cloud or on-premises ETL/ELT pipelines for large-scale batch and real-time data processing. Ensures reliability, scalability, data quality, security, and compliance. Collaborates with business and technology partners across data governance, architecture, modeling, science, DevOps, and BI. Mentors data engineers and independently leads solution design, estimation, and delivery.

Designs, builds, maintains, monitors, and optimizes scalable ETL/ELT pipelines for structured and unstructured data across Azure and on-premises environments. The role supports batch and real-time processing, data quality, security, compliance, and performance tuning. It collaborates with business, technology, operations, governance, architecture, data science, DevOps, and BI teams to deliver production-grade data and analytics solutions.

Designs and builds enterprise Azure data platforms using Synapse, Databricks, ADLS Gen2, ADF, PySpark, and Spark SQL. Leads data modernization and migration initiatives, develops scalable pipelines, implements governance and data quality practices, optimizes performance and cloud costs, and mentors engineers. The role also requires advanced SQL, CI/CD, Azure DevOps, security controls, and experience with data warehouse and medallion architectures.

Design and build enterprise Azure data platforms using Synapse, Databricks, ADLS Gen2, PySpark, Spark SQL, and Azure Data Factory. Lead modernization and migration initiatives, develop scalable pipelines, optimize performance and cloud costs, and implement data governance, security, quality, and warehouse best practices. The role also involves mentoring engineers, establishing coding standards, and promoting AI-assisted development tools such as GitHub Copilot.

The Reports Analyst prepares ad hoc and scheduled reports, responds to data requests, analyzes trends, and provides recommendations to business management. Responsibilities include researching and downloading data, creating presentations and exhibits, manipulating spreadsheet and database data, maintaining databases, and ensuring data integrity and accurate reporting. The role requires advanced Excel skills, reporting and data analysis experience, strong communication, and effective use of AI tools.