Top Data & Analytics Jobs in Peoria, IL
Brown University Athletics is seeking candidates for multiple Athletics Statistician positions. The role involves keeping live statistics at athletic events, submitting stat packages to NCAA and Conference offices, and working alongside various staff members during events. Candidates must have knowledge of stat crew and genius stat systems, work quickly and accurately under pressure, and have a comprehensive understanding of sports rules and regulations.
The Compensation Analyst conducts market analysis and provides recommendations to align compensation programs with company objectives. Responsibilities include data analysis, ensuring compliance with compensation laws, conducting job analysis, and supporting HR business partners in compensation-related needs.
As a Senior Game Data Analyst, you will collaborate with stakeholders to translate business goals into actionable analytics tasks, optimize data pipelines, engage in quality assurance, and implement innovative solutions to enhance player experiences.
The InfoSec Client Solutions Analyst will support and enhance Intel® Federal's secure IT solutions, working within an Agile team to deploy client systems, monitor security threats, and ensure compliance with regulations. This includes managing client systems, participating in operations, and proposing improvements.
Create and maintain accurate demand plans by month by style/color/size for a specific brand and/or category. Derive style/color/size level demand plans, lead presentations, and handle standard reporting and administrative duties. Bachelor's degree in Business Management or related field required.
The Senior Data Engineer at TCGplayer will work with the Data Engineering team to enhance the organization's use of datastore technologies. Responsibilities include guiding datastore technology selection, optimizing database design, writing code for data management, supporting data flow strategies, troubleshooting and improving database designs, and providing leadership on datastore-related projects.
The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.
The Data Scientist - Architect will design, develop, test, and support scalable machine learning solutions using Azure tools. Responsibilities include leading technical discussions with clients, assisting with pre-sales activities, elevating team talent through coaching, and identifying opportunities for Azure solution architecture in client accounts.
As a Senior Data Engineer at Zencore, you will leverage Databricks to assist clients with data application modernization and cloud migration, driving transformation by acting as a trusted advisor on various topics including ETL, data modeling, security, and governance. You will develop production-ready Spark applications, utilize the Databricks tech stack, and implement data pipeline best practices.
The Application Support Analyst will resolve customer issues with the SaaS platform, communicate with clients, troubleshoot applications, and collaborate with internal teams to develop solutions. Responsibilities include investigating code, coordinating problem resolution, monitoring systems, writing custom code, and participating in hiring efforts.
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