Top Remote Data & Analytics Jobs in Chicago, IL
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.
As a Paid Search Analyst, you'll manage performance-driven campaigns, conduct keyword research, develop and optimize paid search strategies, and measure campaign performance for healthcare clients. The role requires collaboration with internal teams and staying updated with industry trends to achieve marketing goals.
As a remote Behavior Analyst at Kyo, you will design and implement individualized treatment plans, supervise staff, conduct assessments via Telehealth, and ensure effective communication with clients and families. You will also provide mentoring to Behavior Therapists and contribute to regional clinical projects while achieving performance metrics.
This role involves managing the data and analytics program for Revenue Cycle Optimization, leading strategic initiatives, performing financial performance analysis, ensuring accountability for ROI outcomes, preparing performance reports, and training team members on analytics tools and methodologies.
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 Scientist at OneDigital is responsible for developing new models and tools for client projects related to health benefits strategies. They will work on data visualization, web application development, and providing R&D support for model enhancements. The role requires a Bachelor's/Master's degree in a relevant quantitative discipline and 4+ years of experience in data science or related fields.
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.
Top remote Companies in Chicago, IL Hiring Data + Analytics Roles
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