Top Remote Data & Analytics Jobs

The Senior Analytics Engineer will enhance analytics models, create trustworthy dashboards, and establish data governance standards to drive decisions across Mixbook.

This role involves managing the end-to-end SDLC for public sector Salesforce initiatives, working with business stakeholders to ensure compliance with federal security requirements, and driving user adoption through effective change management.

The role involves analyzing corporate finance metrics such as Bookings and ARR, providing insights through reporting, and reconciling financial data between departments.

The Data Scientist II will lead data-driven projects, applying machine learning to enhance business processes and customer experiences.

The Customer Success Data Scientist will develop account health models, analyze customer retention metrics, and create visual reports to enhance customer satisfaction.

As a Customer Success Operations Analyst, you will analyze customer data, build dashboards, optimize workflows, and support the success team with insights and materials for reviews.

The role involves conducting investigations into potential cybersecurity threats using SIEM, analyzing log data, and preparing incident reports while collaborating with customers and team members.

As a Senior Machine Learning Engineer, you'll develop and implement advanced machine learning algorithms, build AI functionalities, and guide junior engineers while collaborating across teams to optimize AI integration.

The Principal Data Scientist will analyze data to influence strategies, collaborate with teams, and drive product development through insights and recommendations.

The Director of Sales and Workforce Analytics leads workforce optimization and sales performance analysis. Responsibilities include maximizing workforce productivity, managing capacity planning, delivering sales performance reports, and fostering a culture of excellence within the sales team, all aimed at improving the customer journey and organizational efficiency.

The Data Engineer will build financial data pipelines, manage data health metrics, migrate data platforms to Databricks, and enhance data governance, collaborating with teams to drive business impact.