Top Remote Data & Analytics Jobs
The Senior Information Security Analyst II will develop and execute a global compliance strategy, ensuring adherence to regulations like PCI, SOC 2, and GDPR. Responsibilities include leading audits, maintaining security policies, managing compliance projects, and addressing customer security concerns in collaboration with teams like Engineering and Sales.
The Data Acquisition Specialist will source, collect, and maintain accurate data to support semiconductor distribution. Responsibilities include evaluating data sources, implementing data collection methods, ensuring data quality, conducting analysis and reporting, and collaborating across departments. The role also promotes continuous improvement in data practices.
The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.
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The Payments and Fraud Analyst will process and reconcile payment transactions, monitor systems to ensure accuracy, investigate payment issues, implement fraud prevention strategies, and collaborate with the customer support team on payment-related inquiries. Regular reporting on metrics and industry best practices is also required.
This is an invitation to join Rialtic's Talent Community. It allows candidates to submit their resumes even if no suitable positions are currently available, promoting a diverse and inclusive workplace.
The Research Data Scientist will focus on understanding and adopting AI innovations to enhance ATPCO's data products. Responsibilities include advising product teams on AI-driven solutions for airfare and pricing, leading AI-based product evaluations, collaborating with data engineers on AI tools, and promoting AI through presentations and content creation.
As a Senior Data Engineer, you will collaborate with clients to design and maintain advanced data platforms, develop real-time data processing systems, and create documentation and training materials. Your role includes building ETL pipelines, data warehouses, and RESTful microservices primarily using cloud services while ensuring effective communication of complex concepts to technical and non-technical stakeholders.
The Senior Data Science Manager will lead a team to enhance Reddit's advertising platform by driving data science projects, analyzing trends, and creating data-driven strategies. This role involves collaboration with product, engineering, and marketing teams to improve user and advertiser experiences, while fostering a culture of innovation and technical excellence.
The Senior Data Observability Engineer will lead the observability initiatives at Cherre, enhancing data observability capabilities and ensuring data health and performance for clients. Responsibilities include developing observability frameworks, mentoring teams, creating metrics and dashboards, investigating data incidents, assessing client data needs, and adopting new technologies.
GOBankingRates is seeking a seasoned Principal Data Engineer to lead and broaden their Data Platform initiatives, translating business requirements into technology requirements, and defining data standards and principles. The role involves overseeing the development and maintenance of their Enterprise Data Platform, including a Serverless Data Lake and Cloud Data Warehouse.
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