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Top Remote Data & Analytics Jobs in Jacksonville, FL

4 Days Ago
United States
Remote
111 Employees
95K-110K Annually
Mid level
111 Employees
95K-110K Annually
Mid level
Software
As a Data Engineer at Wider Circle, you will develop and maintain data quality frameworks, enhance data quality through feedback, partner with engineering teams to predict data issues, and manage internal service level agreements for data quality.
4 Days Ago
USA
Remote
34 Employees
Junior
34 Employees
Junior
Blockchain • Fintech
The Blockchain Researcher will analyze industry trends, conduct research on emerging blockchain technologies, and produce reports and market commentary. They will also coordinate technical documentation and contribute to the ecosystem's growth through insights and modeling work.
4 Days Ago
US
Remote
2,862 Employees
98K-133K Annually
Mid level
2,862 Employees
98K-133K Annually
Mid level
Biotech
The Senior HRIS Analyst will manage Workday administration tasks, support configuration, develop system documentation, analyze data, and collaborate with HR and IT teams to improve processes and efficiency. The role requires a focus on optimization, data management, and testing while serving as a subject matter expert for Workday functionality.
4 Days Ago
United States
Remote
323 Employees
Senior level
323 Employees
Senior level
Cloud • Database
The Senior Consultant will design, build, and test custom data warehouse and business intelligence solutions using Oracle NetSuite Analytics Warehouse. Responsibilities include developing data integration solutions, implementing best practices, and leading product implementation and training for clients.
4 Days Ago
3 Locations
Remote
835 Employees
Expert/Leader
835 Employees
Expert/Leader
Fintech • Financial Services
The Director of Data Engineering at Shift4 will lead the data architecture, manage a team of data engineers, and oversee the development of scalable data pipelines and governance processes while collaborating with various teams to support analytics and reporting needs.
4 Days Ago
USA
Remote
89 Employees
197K-295K Annually
Senior level
89 Employees
197K-295K Annually
Senior level
Artificial Intelligence • Insurance
As the Director of Data at Loop, you will lead a team to develop and scale innovative data products, ensuring collaboration across teams to make data-driven decisions. You will set the vision for data strategy, communicate priorities across the organization, and oversee the adoption of data tools while contributing to product strategy and driving impactful insights for merchants.
4 Days Ago
United States
Remote
53 Employees
Junior
53 Employees
Junior
Healthtech • Software
As a Data Engineer II, you will clean and process large datasets, migrate client data, develop data quality assurance checks, and streamline data pipelines. You will collaborate cross-functionally to understand and fulfill data needs, while also monitoring and optimizing system performance for impactful healthcare data analysis.
4 Days Ago
29 Locations
Remote
133 Employees
60K-100K Annually
Mid level
133 Employees
60K-100K Annually
Mid level
Artificial Intelligence • Blockchain
As a KYC Investigations Analyst, you will manage CertiK's KYC badge product, conduct interviews to assess risks, perform investigations using OSINT, and provide customer service during the KYC process. You will document findings and evaluate project teams for quality and risks.
4 Days Ago
United States
Remote
916 Employees
Senior level
916 Employees
Senior level
Consulting • Financial Services
As a Senior Manager in Data and Analytics, you will lead projects to implement data strategies, build automation tools, and develop visualizations for clients. Responsibilities include project management, communicating business needs, and collaborating with stakeholders to drive data-driven transformations.
4 Days Ago
US
Remote
225 Employees
210K-220K Annually
Expert/Leader
225 Employees
210K-220K Annually
Expert/Leader
Healthtech
Lead the design and implementation of modern data architectures and scalable data platforms. Collaborate with various teams to ensure data integrity and accessibility while optimizing data pipelines and mentoring the engineering team. Foster innovation and address the data infrastructure needs of the organization by integrating AI/ML workflows.
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