Top Data & Analytics Jobs

Analyze complex datasets, write SQL queries, build and maintain Tableau dashboards, validate and transform data, design data pipelines with Snowflake or IBM DataStage, document processes and flows in Visio, and communicate insights to stakeholders.

Design and develop data pipelines and BI solutions, focusing on ETL workflows, data warehousing, reporting, and collaboration with stakeholders.

The Senior Data Engineering Analyst will build data models in Power BI, maintain analytics pipelines and ensure performance tuning while using Azure and related technologies.

The Data Engineering Consultant will develop Python and PySpark modules, manage data pipelines, troubleshoot issues, and collaborate with teams to deliver software solutions.

The Data Engineering Consultant analyzes user tickets, develops ETL processes, performs SQL tuning, and creates technical documentation while leading and communicating effectively with the team and clients.

The Data Engineering Consultant will develop Python and PySpark modules, manage data pipelines, troubleshoot production issues, and collaborate with teams. They will innovate and ensure high-quality software delivery while maintaining documentation and CI/CD systems.

The role leads modernization within trend forecasting and reporting, focusing on data, analytics, and technology enhancement while collaborating with various stakeholders.

The Senior Data Engineering Analyst will design data pipelines using Azure services, manage data warehousing solutions, create ETL processes, optimize database performance, and mentor junior data engineers while ensuring data security and compliance.

The Data Engineering Consultant will design and implement scalable data pipelines, develop data transformations using PySpark, optimize Databricks performance, and manage data orchestration and scheduling tools like Apache Airflow in the Azure ecosystem.

The role involves designing and optimizing database architecture, maintaining data pipelines, and managing cloud solutions to ensure data compliance and quality. It includes leading projects, mentoring junior staff, and collaborating with stakeholders.