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Top Remote Data & Analytics Jobs in Peoria, IL

24 Days Ago
United States
Remote
198 Employees
65K-170K Annually
Mid level
198 Employees
65K-170K Annually
Mid level
Fintech • Information Technology
As a Senior Analytics Engineer, you will manage and evolve the data infrastructure primarily for finance, ensuring high data quality and availability. You will lead data projects, work with business and engineering teams, promote data-driven culture, and improve processes for analysis and reporting.
Top Benefits:
401-K
Child Care Benefits
Company Equity
+44 More
25 Days Ago
US
Remote
818 Employees
Mid level
818 Employees
Mid level
Other
As a Data Engineer, you will maintain and optimize the data architecture by designing and implementing data platforms and pipelines, supporting migrations, troubleshooting issues, and ensuring compliance with regulations. You will also address stakeholder requirements and provide training support to staff members.
25 Days Ago
United States of America
Remote
831 Employees
125K-135K Annually
Senior level
831 Employees
125K-135K Annually
Senior level
Healthtech
Oversee and optimize financial systems and processes focusing on Workday, leading integrations and financial reporting. Collaborate with teams to gather requirements and enhance configurations for efficiency. Manage banking integration and support users with troubleshooting while mentoring team members on Workday functionalities.
25 Days Ago
2 Locations
Remote
31 Employees
Senior level
31 Employees
Senior level
Business Intelligence • Consulting
The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.
25 Days Ago
United States
Remote
71 Employees
Entry level
71 Employees
Entry level
Fintech
The Data Scientist will develop and maintain ETL processes, generate insightful reports from financial data, analyze performance indicators, and collaborate with cross-functional teams to improve financial operations and data quality.
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