Top Remote Data & Analytics Jobs
As a Senior Data Analytics Engineer, you will design and maintain ETL processes, ensure data accuracy, and provide actionable insights. You will work with various programming languages, optimize workflows, and collaborate with cross-functional teams to meet data requirements. Your role will also involve deploying solutions in a Kubernetes environment and performing advanced data analysis.
The Senior Data Analyst will manage data projects, develop reporting tools, and enhance business analytics while collaborating with teams. Responsibilities include data modeling, dashboard creation, ensuring data accuracy, and mentoring junior analysts, as well as identifying new data technologies.
As an Analytics Engineer at Loop, you'll model raw data into clean datasets for analytics, collaborate with data teams, and support data projects, ultimately helping merchants with insights and solutions. Your role will dynamically evolve as the company grows.
The Analytics Implementation Specialist acts as a key liaison between analytics technologies and client needs, managing tagging implementations and enhancements for eCommerce businesses. Responsibilities include onboarding clients, ensuring effective use of data through advanced tracking solutions, and maintaining client relationships while fostering expertise in analytics.
As a Research Analyst for the Reports Team, you will produce insights on digital assets by researching topics, synthesizing findings into reports, and collaborating with team members and clients. The role involves meeting deadlines, interacting with clients, and supporting sales initiatives through marketing materials.
As a Senior Data Scientist, you will analyze large datasets, design analysis pipelines, and collaborate with engineers to convert clinical needs into technical solutions. You will lead the development of machine learning models and present findings to various stakeholders, contributing to the delivery of impactful digital health solutions.
As a Data Engineer, you'll design and develop large-scale data pipelines, enhance processes, integrate data sources, and write maintainable code to support various teams in the organization. You'll optimize data architectures and support ongoing projects through effective data delivery.
As a Data Engineer III at Cars Commerce, you will build scalable data platforms and tools, design and maintain complex data applications, develop and support production data pipelines, and collaborate closely with various engineering and cross-functional teams while mentoring junior team members.
The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.
The User Experience Analyst will conduct user research, design wireframes, and collaborate with clients and team members to develop engaging user experiences that align with usability standards. They will manage user experience planning, document requirements, and provide presentations on findings. Strong problem-solving and communication skills are crucial for success in this role.
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