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Top Remote Data & Analytics Jobs in Phoenix, AZ
As a Data Operations Engineer, you will optimize data operations, develop integration solutions, design data pipelines, and ensure data governance. You will collaborate with stakeholders, lead workshops, manage Agile processes, and analyze systems for improvements while ensuring data security standards.
The Senior Data Scientist at Tubi will advance the company's experimentation platform by planning and executing experimentation strategies, enhancing statistical rigor, and providing insights to inform data-driven decisions. Responsibilities include designing tests, analyzing results, and collaborating with teams to measure the impact of initiatives.
The Pro Data Scientist at Houzz will collaborate with various teams to launch data science initiatives, define KPIs, manage product performance, conduct product experiments, and work on data collection needs. The role requires strong analytical skills and the ability to provide data-driven insights for product development.
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The Senior Data Engineer will build and maintain data pipelines, work with cross-functional teams to design data models, and contribute to data warehousing solutions. The engineer will also advocate for data governance and drive process improvements across data operations.
The Strategic Market Insights Analyst/Manager role focuses on bridging research and executive decision-making by providing actionable insights through in-depth analyses of market trends, competitors, and internal metrics. Responsibilities include creating executive-level reports, collaborating with cross-functional teams, and developing data visualizations that inform senior executives' strategic business decisions.
The Manager of Data Science oversees a team that ensures successful production escalation resolutions and statistical analysis while enhancing reliability in production workflows. They will lead the team, manage projects, improve processes, and communicate effectively with stakeholders to deliver actionable insights in the Oncology business unit.
As a Data Engineer, you will work with AI teams to operationalize data pipelines and machine learning tasks, while supporting the deployment of Python-native ML pipelines, data preparation, and maintenance of data architecture for AI/ML capabilities. You will present results to diverse audiences and support technical advisory services for identity management technologies.
The Data Platform Development Lead will define and execute the strategic vision for Redhorse's data platform, implementing a 'data as a product' approach. Responsibilities include collaborating with stakeholders, overseeing development and execution of a data roadmap, promoting data-driven decision-making, and managing cross-functional teams to optimize aircraft maintenance through data insights.
The EHR Connectivity Ops Interface Analyst at Abbott will lead EHR integration projects, support and resolve issues related to medical device platform interfaces, and collaborate with internal and external teams to ensure customer satisfaction and high-quality deliverables. This role requires strong technical expertise in healthcare data standards and EHR systems.
The EHR Connectivity Ops Application Analyst will support the integration of Abbott's medical devices with customer EHRs by configuring applications, conducting testing, troubleshooting issues, and providing training and support to users. This role will collaborate with cross-functional teams and ensure high-quality project execution.
The Sr. Data Engineer will drive data-driven decision-making by developing and optimizing data models, evaluating emerging technologies, and implementing solutions within the Azure ecosystem. Key responsibilities include conducting evaluations for new data technologies, designing data pipelines, and collaborating with globally distributed teams.
Top Remote Companies in Phoenix, AZ Hiring Data + Analytics Roles
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