Top Data & Analytics Jobs

The Database Administrator will support the consulting team by managing and analyzing a database. Responsibilities include maintaining database accuracy, developing analytical tools, and recommending process improvements for database management.

The Supply Chain Senior Analyst will oversee supply chain operations for various e-commerce micro-brands, managing inventory levels, procurement, vendor relationships, and fulfillment. Responsibilities include implementing inventory best practices, collaborating with logistics providers, developing supply chain strategies, and ensuring compliance with Amazon guidelines.

The Principal Data Engineer will build scalable data pipelines and solutions using cloud technologies. Responsibilities include developing ETL/ELT frameworks, optimizing data platforms, ensuring compliance, collaborating with stakeholders, monitoring data infrastructure, and mentoring junior engineers.

As a WEKA Data Platform Administrator, you will manage the WEKA Storage Infrastructure for a Managed Services customer, implementing the WEKA Data Platform, creating file systems, and configuring storage options while troubleshooting issues and collaborating with customers. You will document processes and serve as a trusted adviser for technical mentorship.

As a Data Architect, you will design, implement, and maintain a robust data architecture, supporting advanced analytics and business intelligence initiatives. You will collaborate with cross-functional teams to integrate data from various sources, create and maintain data models, establish data governance policies, and identify performance optimization opportunities.

The Data Architect will design and optimize the organization's data infrastructure to align with business goals and enhance data-driven decision-making. Responsibilities include developing data solutions using various Azure services, managing data architecture, ensuring compliance with regulations, and collaborating with cross-functional teams to meet data infrastructure needs.

As a Senior Data Scientist in Fraud Detection, you will analyze and mitigate fraud risks using advanced analytics and machine learning. Collaborate with product and engineering teams to build data-driven solutions and improve fraud detection strategies while maintaining an understanding of current trends.