Top Data & Analytics Jobs in Richmond, VA
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.
As a Data Architect Manager at PwC, you will lead the design and implementation of data solutions, ensuring effective data processing and analysis. Responsibilities include managing projects, mentoring team members, developing data architecture strategies, and collaborating with stakeholders to meet business needs while adhering to data governance and security standards.
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.
The Senior Business Analyst will leverage analytical and strategic skills to address company challenges, support marketing and product strategies, perform analysis for credit risk, and collaborate with various teams to improve business outcomes at Capital One.
As the AI/ML Risk Guide for the Enterprise AI/ML Program, you'll manage various risk-related deliverables, work across teams, develop risk mitigation plans, and maintain senior-level communications to enhance operational safety and compliance for Capital One.
The Manager Data Analyst for Enterprise Services will leverage analytical skills to drive strategy, build models, and improve processes. Responsibilities include mining data, enhancing operational efficiencies, and mentoring junior analysts. This role involves extensive collaboration across business units in a fast-paced environment with a focus on analytics and data-driven decision-making.
The Human Resources Systems Analyst will enhance HR systems and processes, implement new technologies, and optimize data and analytics. Responsibilities include developing automations, building data pipelines, maintaining HR data integrity, and assisting employees with HR system issues.
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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 Data Analyst at Cohere Health, you will validate and clean data, ensuring its readiness for reporting and analytics. You will collaborate with engineering, product, and business intelligence teams to monitor ETL processes, troubleshoot issues, and enhance data integrity. Responsibilities include maintaining quality checks, developing reports, and tracking data issues to streamline processes and support healthcare provider workflows.
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.
The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.
Top Companies in Richmond, VA Hiring Data + Analytics Roles
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