The Lead Data Analyst will partner with cross-functional teams to define KPIs, develop performance metrics, and design data models for product evaluation. They will lead proactive analyses to identify trends and drive the adoption of AI-enabled analytics to scale business decision-making.
Remote Software Development Jobs (50,653)
Job category = Software Development
Support and improve CI/CD pipelines and manage Kubernetes clusters across AWS EKS and Nutanix environments. Collaborate with engineering teams to deliver infrastructure automation and contribute to observability and incident response initiatives.
Responsible for identifying and developing business opportunities for analytical instrumentation and water quality solutions in Western Mexico. Leads the end-to-end commercial cycle, from prospecting and negotiation to post-sales follow-up and internal coordination.
Translate partner and customer business needs into technical specifications and deployment plans for AI agents. Own the end-to-end implementation process, including configuration, integration with CRMs, and managing stakeholders through go-live.
The analyst will execute the analytics platform to measure business impact and present findings in actionable formats. They are responsible for creating analytical tools and ensuring the timely production of team reports.
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Administer VMware-based virtualized environments and execute end-to-end infrastructure and file server migrations. Collaborate with cross-functional teams to ensure migration readiness and maintain detailed technical documentation.
Define the technical strategy and architecture for a unified measurement and attribution platform to track user activity across various channels. Lead the development of scalable event processing systems and first-party measurement capabilities while mentoring senior engineers.
Design and build production automations and UIs to eliminate manual operational workflows within brokerage functions. Own the full system lifecycle including deployment, monitoring, and incident response to ensure scalable and auditable operations.
Design and implement AI-powered agents and automated workflows to optimize internal operational processes across Engineering, Product, and Design. Build and maintain a curated library of reusable AI skills and integrate AI platforms with tools like Jira, Slack, and Confluence.
EDI Medical Business Analyst
TISTA Science and Technology Corporation
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Full Time
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3 Weeks Ago
TISTA Science and Technology Corporation
The role involves writing detailed requirements for EDI-related epics and stories while acting as a bridge between business and technical teams. Responsibilities include designing complex business processes, validating EDI requirements, and managing onboarding with third-party providers.
Own and scale the corporate IT and security infrastructure, focusing on macOS endpoint management and identity platforms. Manage the full employee lifecycle through automation, access controls, and SOC 2 compliance activities.
Develop and implement advanced machine learning models to identify and prevent fraudulent activities across the platform. Collaborate with cross-functional teams to design fraud detection systems and optimize model performance based on emerging trends.
The intern will perform data analytics for Risk Adjustment operations using SQL and Tableau to visualize healthcare metrics. Additionally, they will support AI and NLP innovation projects to enhance medical data processing.
The Senior DBA will build and support mission-critical database systems across public cloud and traditional data centers. Responsibilities include performing DBA duties, optimizing in-house applications, and guiding best practices for high availability and automation.
The role involves supporting technical work across internal tools, data operations, and AI workflows to translate business needs into practical solutions. Key tasks include fixing bugs, shipping product improvements, and automating recurring operational requests.
The Solutions Architect builds trusted relationships with C-level executives to design and implement technical business models that drive growth. They act as the voice of the customer to influence product roadmaps and secure technical wins through strategic engagements.
AI Driven Marketing & Market Research Intern
Seeka Technology
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Full Time
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3 Weeks Ago
Seeka Technology
The intern will use AI tools to conduct market research on education and employment trends and manage marketing data. They will also support content creation, campaign planning, and basic creative design for web and social media.
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VP Sales -Enterprise SaaS | Logistics Service Providers | Broker & Forwarder Systems
The Descartes
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Full Time
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3 Weeks Ago
The Descartes
Lead and scale the North American Broker/Forwarder Enterprise Systems and LSP Strategic Account teams to drive 15-20% annual revenue growth. Develop go-to-market strategies and collaborate with product and marketing teams to enhance logistics transformation solutions.
Lead the design, migration, and modernization of complex enterprise hybrid and multi-cloud architectures across AWS and Azure. Partner with security and delivery teams to implement governance, compliance, and security-by-design principles.
Entwickler:in Full Stack (Angular & Node.js)
metafinanz Informationssysteme GmbH
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Full Time
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3 Weeks Ago
metafinanz Informationssysteme GmbH
Design and maintain modern web applications from conception to maintenance, focusing on robust RESTful APIs and accessible user interfaces. Collaborate with Design, QA, and DevOps teams to implement scalable technical architectures and best practices.
Freelance WordPress, Security & HIPAA Compliance Consultant
Insight Therapy Solutions
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Full Time
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3 Weeks Ago
Insight Therapy Solutions
Audit a WordPress website to identify security risks and gaps in HIPAA compliance regarding PHI handling. Provide a detailed audit report with prioritized remediation steps to strengthen the site's security posture.
Own the post-sale technical journey by managing onboarding, deployment, and driving customer consumption of the platform. Write production-quality code for custom integrations and act as a technical advisor to ensure customers realize measurable value.
Own the technical delivery and stabilization of agentic AI solutions from design through production rollout in customer environments. Translate complex business problems into feasible AI workflows and serve as the primary technical point of contact for stakeholders.
Design, build, and maintain robust backend services and APIs to support the platform's fraud prevention capabilities. Collaborate with stakeholders to implement new features and contribute to the overall engineering culture and technical roadmap.
Design, develop, and operate embedded software for connected vehicles and related products. Collaborate with hardware teams for board design, bring-up, and verification of onboard sensors and cloud interactions.
Own the end-to-end implementation and governance of Google Analytics 4 across web and product platforms. Define measurement frameworks and collaborate with cross-functional teams to translate business goals into actionable tracking insights.
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Lead the definition and delivery of end-to-end business requirements for a global corporate travel management ecosystem. Act as the primary liaison between business product owners and software development teams to drive automation and process efficiency.
Lead the intelligence layer of the Karman platform, overseeing algorithms, control methods, and optimization techniques for AI data center power systems. Partner with Engineering and Product leaders to translate research into production-ready capabilities that deliver quantifiable customer value.
The Principal Data Engineer will own the technical direction and architectural design of the data engineering platform, including ingestion, transformation, and storage. They will lead the technical roadmap, mentor engineers, and translate product goals into scalable engineering plans.
Responsible for administering the Databricks Mosaic AI platform and managing the lifecycle of agentic AI pipelines and models using MLflow. This includes orchestrating multi-agent systems with Kubernetes and Docker, implementing CI/CD pipelines, and monitoring performance via Prometheus and Grafana.
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