Top Remote Data & Analytics Jobs

Lead SAP Data Migration activities for enterprise transformation projects, ensuring data quality, governance, and compliance while collaborating with cross-functional teams.

The Actuarial Specialist produces analyses, manages projects, and oversees team workload to enhance actuarial processes in the organization, ensuring business growth and profitability.

The Data & Analytics Architect will design and implement analytics solutions, support client engagements, and lead data architecture projects, requiring extensive technical and consulting skills.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

Lead end-to-end measurement, optimization, and reporting for engagement and activation programs. Design and run A/B and multivariate tests, perform funnel, cohort, and segmentation analyses, build/validate dashboards and data pipelines, ensure data quality, and translate insights into executive-facing recommendations. Partner with product, engineering, creative, and client teams to drive measurable program improvements in regulated healthcare environments.

The Principal Data Engineer will lead data architecture initiatives, design scalable data systems, and oversee data standards across teams while ensuring high-quality data infrastructure and guiding engineering teams.

The Senior Business Analyst will analyze healthcare data, manage requirements for data warehousing projects, and contribute to Business Intelligence initiatives. Responsibilities include data aggregation, understanding database structures, EDI claims, and conducting data quality checks.

Analyze conversational call flows and large datasets to optimize IVR and generative AI systems. Perform call testing, annotation, dashboard monitoring, and deliver data-driven insights and presentations to improve self-service, reduce agent handling, and enhance customer experience.

The Senior Analyst will support product engineering efforts by analyzing digital solutions, enhancing user experiences, and collaborating across teams to deliver insights and improvements.

Provide technical and administrative support to leadership: monitor sprints and Scrum synchronizations, perform technical research, write Python scripts for automation and API testing, manage and report data using advanced Excel, and prepare meeting summaries and cross-functional coordination.