Top Remote Data & Analytics Jobs

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

The Senior Manager, Revenue Strategy will drive growth for the US SME Sales segment by implementing strategic plans, coordinating product launches, managing budgets, and collaborating with various teams to enhance sales efficiency and customer onboarding.

As a Staff Data Scientist, you will lead the Growth Analytics team, implementing data science techniques to drive product-led growth and influence strategies across various teams.

The consultant will analyze healthplan performance data, providing insights and recommendations, and serve as a subject matter expert in healthcare analytics.

As a Business Strategy Analyst, you will conduct market research, develop strategic plans, build financial models, and analyze data to support decision-making for manufacturing customers.

Design and implement ETL pipelines, optimize data systems, build data warehouses, and develop AI/ML models for data solutions. Collaborate with teams to deliver data-driven products and ensure data quality and governance.

The Sr. Analytics Engineering Manager will lead analytics engineering, managing a team to build ELT pipelines and data models for actionable insights in mental healthcare.

The Log Specialist at Dynatrace leads log management initiatives, collaborates with sales, architects data ingestion solutions, and advocates for enhanced log consumption strategies.

The Enterprise Data Architect will design and govern data architecture, create enterprise data models, and ensure data consistency across various systems.

Interns will assist in data analysis, Business Intelligence system implementation, dashboard creation, and support client data management, while building professional relationships.

The Data Engineer will enhance data infrastructure and analytics, focusing on AWS and IoT data, while designing, optimizing, and maintaining ETL pipelines.