Top Remote Data & Analytics Jobs

The Senior Data Engineer will design, maintain, and enhance the company's data analytics pipeline, focusing on data warehouse and ETL processes. Responsibilities include developing tools for monitoring data health, collaborating with stakeholders, and ensuring data accuracy and reliability.

The Data Analyst will transform complex data sets into valuable insights, supporting product development through analysis and reporting. Responsibilities include data exploration, analytics reporting using tools like SQL and Power BI, collaboration with product teams, and continuous learning of industry trends to drive business decisions and product improvements.

As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.

The Transformation Office Analyst supports the TO Director by managing meetings, overseeing Wave management, coordinating training for transformation participants, and communicating updates related to transformation efforts. Responsibilities include scheduling meetings, preparing materials, managing inquiries, and creating training resources.

The Data & Analytics Solution Architect will lead the design and implementation of data warehouses and analytics solutions while providing architectural guidance. This role involves collaborating with team members and clients to understand business requirements, developing KPIs, and managing the full lifecycle of BI applications using Microsoft tools and technologies.

The Supply Planner Analyst at Dollar Shave Club manages inventory levels by coordinating purchase orders, developing reports, and ensuring supplier performance aligns with quality standards. The role involves optimizing ERP systems like Netsuite and planning tools like BlueRidge, collaborating with various internal departments, and leading strategic purchasing initiatives.

The VP of Engineering, Data at Axios will lead the data engineering, data science, and analytics teams, overseeing the data platform's architecture and infrastructure. They will manage the data leadership team, set the vision and strategy for data initiatives, ensure alignment with company goals, and foster a diverse and inclusive environment.