Top Data & Analytics Jobs
The Geospatial Analytics Data Platform Architect will design and implement geospatial data architectures for large-scale analytics and machine learning using GCP. The role includes establishing data governance frameworks, leading cross-functional teams, and providing geospatial expertise to create innovative data solutions.
As a Principal Database Engineer, you will design and develop core modules for a data integration and analytics cloud platform, work with the engineering team on web applications, ensure compliance with quality standards, and provide technical guidance and support to other engineers.
As Sr. Director of Data, Analytics, and AI at NinjaTrader, you will lead efforts in data infrastructure, data science, business intelligence, machine learning, and AI. Your role involves managing a team, executing the technical roadmap, ensuring data governance, and fostering collaborations across departments to support data-driven decision-making and enhance user experience.
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The Director, Data Integration will oversee claims data integration, ensuring accurate and timely data integration across systems. This role involves leading a team of data engineers, shaping data strategy, engaging in product development, and collaborating closely with clients to drive successful data initiatives.
As a Senior Data Engineer at Arcadia, you will develop solution architecture, automate data pipelines connecting client claim and clinical data platforms with our health solution platform, and contribute to improving data integration tools. You will participate in scrum ceremonies, code reviews, and manage multiple implementations simultaneously.
As a Senior Applied Research Scientist, you will leverage your AI/ML expertise to tackle real-world challenges, develop and implement models, and contribute to the design and scaling of large language models for enterprise use. Collaboration with product owners and other team members is key to delivering impactful solutions.
The AI Steward will oversee the data and development lifecycle related to Generative AI and Machine Learning, ensuring data compliance and governance. Responsibilities include establishing frameworks for AI compliance, collaborating with development teams, and resolving data issues to adhere to regulatory requirements.
The Data Governance Engineer will design and develop privacy solutions to ensure compliance with privacy and security regulations. Responsibilities include collaborating with analytics and legal teams, building scalable solutions, monitoring for operational errors, and responding to legal inquiries related to consumer data.
The Senior Business Operations Analyst will manage daily operations, enforce data compliance, provide reporting assistance, support process refinement, and educate personnel. They will collaborate with various stakeholders to enhance the adoption of Service and Application Portfolio products and improve service delivery processes.
As a Senior Data Engineer, you will build and optimize data assets and pipelines for Business Intelligence and Advanced Analytics. You'll maintain data repositories, identify process improvements, create complex dataset architectures, and work with business partners to address their data needs.
As a Senior Data Engineer, you will build and optimize data pipelines for Business Intelligence and Analytics, collaborate with Data Scientists and BI Developers, maintain data management repositories, and deliver actionable insights through industrialized datasets.
The Senior Data Engineer will build and optimize data pipelines, manage data repositories, and implement process improvements. They will collaborate with data scientists and BI developers to create actionable insights for business objectives, ensuring high-quality and efficient data delivery.
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.
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 Managed Services Informatica Data Engineer, you will design and implement ETL data pipelines, ensuring data quality and reliability. You will collaborate with teams to understand requirements and support senior staff on projects, while also focusing on continuous learning and personal growth.
The Fraud Technologist - Data and Analytics position focuses on leveraging data to provide insights for clients in the Financial Crimes Unit, driving end-to-end fraud transformation, managing complex problems, mentoring team members, and developing client relationships while maintaining high standards.
The Fraud Technologist will leverage data and advanced analytics to drive insights for clients in the financial crimes sector. Responsibilities include developing strategies, delivering client solutions, analyzing complex problems, mentoring junior team members, and fostering client relationships.
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