Top Remote Data & Analytics Jobs

The Human Resources Systems Analyst will enhance HR systems and processes, implement new technologies, and optimize data and analytics. Responsibilities include developing automations, building data pipelines, maintaining HR data integrity, and assisting employees with HR system issues.

As a Data Analytics Manager at Doximity, you will work with cross-functional teams to discover data insights and improve healthcare. Responsibilities include identifying behavioral patterns, leading data projects, and managing Data Analysts for growth and success.

The Data Science Director at OpenX will lead the Machine Learning team, guiding the development of ML products and collaborating with cross-functional teams to execute the ML team's roadmap, ensuring innovative and scalable solutions are delivered on time.

As a Data Engineering and Analytics Manager at Spark, you'll lead the data team, overseeing data engineering, analytics, and infrastructure projects. Your role involves managing and mentoring team members, building scalable data solutions in GCP, transforming messy data into structured formats, and creating dashboards for data-driven decision-making.

The Senior Data Scientist will lead analysis and provide insights related to Babylist's fulfillment and operations. Responsibilities include visualizing supply chain performance, improving processes, and collaborating with various teams to drive product decisions informed by data analysis.

The Senior Data Analyst at Vouch focuses on building data structures, tools, and models to improve business operations and insurance design. Responsibilities include collaborating with cross-functional teams to identify and standardize data metrics, developing dashboards, performing analyses, and leading data projects.

As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.