Top Remote Data & Analytics Jobs

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

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 role involves designing and building scalable data platforms, migrating data to the cloud, and implementing CI/CD practices while collaborating with cross-functional teams.

Lead design and delivery of enterprise Power BI solutions and a Power BI Center of Excellence. Build scalable data models, integrate BI with centralized data platforms and ERP systems, govern BI assets, adopt DevOps and Agile practices, mentor teams, and drive analytics adoption to enable data-driven decisions across the organization.

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.

Design, build, and maintain an internal data platform and pipelines. Ensure secure, governed, resilient data access for engineering and BI teams. Partner with architects, implement automations, support platform consumption, mentor users, and drive continuous improvement and compliance.

Lead and grow a software engineering team focused on RISC-V software ecosystem, collaborating with teams to establish RISC-V as the standard.