Top Data & Analytics Jobs

As a Workday HRIS Analyst, you will manage HRIS, utilizing your technical expertise to maintain the system, ensure data quality, and report on HR data. Responsibilities include configuring the system, creating custom reports, and collaborating with HR and other departments to enhance processes and programs.

The Analyst conducts data extraction and analysis to inform business strategies, prepares reports on commercial and customer data, identifies trends, and provides insights on market dynamics. The role requires managing reporting templates, ensuring data quality, and recommending improvements based on data interpretation.

The Senior Manager of Enterprise Data Integrations will lead data integration initiatives and manage a team of data engineers to optimize data integration strategies. Responsibilities include implementing integration frameworks, ensuring data governance, and driving innovation to support strategic decisions across the organization.

The Travel Analyst coordinates travel arrangements for unaccompanied children and escorts, ensuring efficient and cost-effective transportation. Responsibilities include booking flights, lodging, and ground transport while inputting requests into the scheduling system. The analyst must communicate effectively with transportation specialists and provide timely updates to maintain efficient operations.

The Manager Data Analytics Engineer will oversee the data warehouse pipeline, ensuring data quality, creating data models, and developing data assets. Responsibilities include integrating data from various sources, creating visualizations and reports, and mentoring team members while collaborating with technical and business stakeholders.

The Market Analyst will work with the Strategic Forecasting Team to analyze memory market conditions, forecast NAND industry trends, develop long-term business plans, and align priorities across stakeholders while providing insights on revenue and product transitions.

The Big Data Engineer will develop large-scale data systems, focusing on architecting and optimizing data pipelines. Responsibilities include providing technical leadership, analyzing project scopes, documenting designs, and enhancing data infrastructure with innovative technologies.