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Top Remote Data & Analytics Jobs
The Senior Scientist in Quantum Applications Chemistry will develop quantum chemistry algorithms, collaborate on hybrid quantum workflows, and engage with clients to solve complex problems using IonQ's quantum computers. This role requires strong expertise in computational chemistry and programming, as well as the ability to communicate technical concepts effectively.
The Senior Staff Scientist at IonQ will lead the development of quantum AI solutions, conduct research to discover new algorithms, and optimize hybrid applications on quantum computers. The role involves collaboration with PhD scientists and various teams while shaping long-term strategies for quantum AI application deployment.
The Senior Manager of Strategic Analytics will lead a team of analysts to drive business insights, optimize pricing, and model operations. Responsibilities include collaborating with executives and cross-functional teams to ensure data-driven decision-making that supports company growth objectives.
The Data Science Sr. Manager will lead a team of data scientists focused on creating AI-powered healthcare solutions. Responsibilities include developing AI features, mentoring team members, collaborating with stakeholders, and contributing thought leadership in AI and healthcare.
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The Analytics Engineer at Toast will be responsible for developing the Analytics layer in the data warehouse using dbt, defining business logic via SQL, collaborating with teams on data needs, and mentoring others. The role involves improving data accessibility for stakeholders and ensuring scalability across the BI platform.
The Senior Analyst will deliver financial insights and analyses for the Go-To-Market function, supporting strategic decision-making and collaboration across teams. Responsibilities include developing financial models using SQL, producing forecasts, and presenting actionable insights to leadership while analyzing performance for continuous improvement.
Lead the technical solutions team in People Analytics, managing data engineering, architecture, and analytics. Oversee the development of data models and visualizations using tools like Databricks, Power BI, and Tableau to drive strategic talent decisions and improve organizational effectiveness.
The Senior Data Scientist will collaborate with engineering and product teams to analyze user behavior and drive business growth. This includes developing customer segmentation strategies, conducting exploratory analysis, creating automated dashboards, and monitoring experiments to optimize revenue and user experience.
As a Senior Data Engineer, you will lead data migration to Databricks, develop scalable data pipelines, ensure data quality, and collaborate with teams on data governance and metrics. You'll troubleshoot data issues, innovate solutions, and manage SLAs for high-priority datasets, applying Agile methodologies throughout.
As the Lead Data Analyst at AWeber, you will collaborate with various teams to provide actionable insights from complex data, automate reporting processes, and enhance data visualization. Your role involves analyzing data trends, presenting findings to stakeholders, and helping to drive business growth. You'll thrive in a remote environment while being proactive and passionate about data-driven improvements.
As a Lead Data Analyst, you will work directly with multiple teams to perform deep data analysis, derive actionable insights, automate reporting processes, and enhance dashboard visualizations. Your role involves collaborating with stakeholders across departments to support their data needs and drive business growth.
As the Lead Data Analyst at AWeber, you will analyze data to provide insights that drive business decisions across various teams. Responsibilities include collaborating with stakeholders, conducting thorough data analysis, automating reporting processes, and improving data visualizations.
As a Senior Web Analyst, you will analyze and interpret web data to drive strategic decisions, enhance user experience, and optimize website performance. Responsibilities include analytics implementation, data analysis, reporting, conversion rate optimization, and collaboration with cross-functional teams.
As a Co-op Operations Data Analyst, you will design data collection systems, create visualizations, conduct analysis for budgeting and forecasting, and present findings to support strategic decision-making. You will collaborate with cross-functional teams to ensure data quality and enhance accessibility across the organization.
The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.
The Data Engineer will design and implement data pipelines using various cutting-edge AWS services. Responsibilities include troubleshooting data issues, developing in-house automation tools, and collaborating with engineering teams to improve data tools and frameworks. Prior experience with Big Data, SQL, and programming in Python, Go, and other languages is required.
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