Top Data & Analytics Jobs in Jacksonville, FL
Perform critical reviews of quantitative models, assess data suitability and model soundness, communicate technical concepts, and provide recommendations for model improvements. Work on models ranging from basic regression to advanced machine learning algorithms across various business areas.
The Data Architect Manager at PwC will design and develop robust data solutions, transform raw data into actionable insights, and lead projects in data engineering. Responsibilities include developing data pipelines, mentoring team members, collaborating on data strategies, and ensuring compliance with data governance policies.
The Data Architect Manager at PwC is responsible for designing and developing data solutions to transform raw data into actionable insights. This role includes managing data infrastructure, developing data pipelines, mentoring team members, and ensuring compliance with data governance policies. The manager must effectively collaborate with stakeholders to align technical solutions with business needs while leading data strategy engagements.
As a Data Engineering Manager at PwC, you will lead the design and implementation of data solutions, manage team performance, and enhance data architecture strategies. Your role involves developing data pipelines, integration, and transformation solutions while mentoring team members. You will ensure projects meet quality standards and collaborate with stakeholders to address data requirements, all while upholding PwC values and professional standards.
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The Compliance Analyst is responsible for ensuring adherence to legal and internal regulations by developing policies, conducting audits, and overseeing compliance procedures. The role includes managing risk assessments, employee training, and regulatory documentation while responding to due diligence requests and performing compliance checks on IT systems.
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The Sr. People Data Analyst role focuses on leveraging data to improve employee engagement and retention. Responsibilities include analyzing people data, developing dashboards and metrics, and collaborating with HR leaders to provide actionable insights. The analyst will also ensure data integrity and use visualization tools to communicate findings effectively.
As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.
The Senior Clinical Informaticist acts as a liaison between clinical care and IT, optimizing healthcare strategies through data analytics and technology integration. Responsibilities include supporting quality improvement measures, translating clinical hypotheses into analytical requirements, and applying industry best practices in health informatics.
The Director of Data Product Development will lead the design and implementation of data solutions within Cohere Health, focusing on enterprise data management, data quality, and governance. Responsibilities include collaborating with cross-functional teams to develop scalable data architectures, enhancing data usability, and driving the adoption of data-driven decision-making processes.
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
As a Machine Learning Engineer II on the ML Fraud team at Affirm, you will develop models to predict fraud likelihood using proprietary and third-party data. You will collaborate across teams to improve fraud detection capabilities, implement data pipelines, and create innovative solutions for emerging fraud patterns, impacting financial performance significantly.
The Sr. Workday Analyst will design, implement, and support Workday modules, enhance system accuracy and efficiency, provide data reporting, resolve Workday and Kronos escalations, train HR staff, and collaborate with HR partners to meet system requirements.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
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