Top Remote Data & Analytics Jobs
The Accounts Payable Analyst processes and codes invoices and expense reports, manages vendor relationships, and monitors compliance and accounting operations. They are responsible for improving processes within the accounts payable function and gaining insights into the company's financial impact as it scales.
Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.
As a Senior GTM Data Strategist, you will lead analytics initiatives to enhance student safety solutions, build data infrastructure, and develop strategic insights for growth. Responsibilities include creating dashboards, managing ETL processes, and mentoring team members while collaborating with C-Suite executives.
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As a Senior Database Engineer, you will manage MySQL databases in an AWS cloud, optimize database systems, lead initiatives, and provide mentoring in a 24/7 production environment focusing on automation and performance trends.
As a Senior Database Engineer at Angi, you'll manage and optimize MySQL databases within an AWS environment, ensuring availability and performance. You'll lead architecture design, oversee multiple projects, mentor team members, and apply automation for database management, while working closely with development teams.
The Associate Paid Search Analyst will collaborate with category managers and stakeholders to define goals and strategies for advertising campaigns. Responsibilities include conducting keyword research, managing campaigns, implementing optimizations, analyzing performance, and communicating results to teams. The role requires expertise in PPC and best practices to enhance campaign effectiveness and achieve client goals.
Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.
As an AI Research Scientist at Phaidra, you will lead the design and implementation of novel algorithmic architecture for intelligent control systems in the industrial sector. This role involves applying expertise in reinforcement learning and deep learning, and collaborating across research fields to achieve groundbreaking results that enable industrial facilities to autonomously improve their operations.
The Senior Data Engineer will focus on data ecosystem management including data quality, governance, and insights creation. Key responsibilities include data source identification, data transformation, and integration using SQL and NoSQL databases, as well as creating data pipelines and utilizing cloud environments. The role requires translating business needs into data-driven solutions and developing business insights to enhance decision-making processes.
The Senior Data Analyst will analyze information to improve business efficiency, develop creative solutions, and collaborate with stakeholders. The role includes directing work streams, facilitating cross-functional meetings, and ensuring project deliverables are met. The analyst will also develop decision-making tools and support business solutions, demonstrating expertise in data analysis and project management.
The Associate Actuary in ERM Risk Analytics will support the development and production of key risk metrics, engage with various functional areas, and perform tasks related to risk management including annuity pricing and model validations while managing projects effectively.
The Senior Data Scientist will develop and deploy machine learning models and financial analytics tools, analyze large datasets, design and implement statistical models, and collaborate with various teams. Responsibilities include financial forecasting, presenting insights to leadership, mentoring junior scientists, and staying updated on advancements in the field.
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