Top Remote Data & Analytics Jobs

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

Lead design and delivery of scalable data architectures, pipelines, and trusted datasets. Drive data governance, cloud-native solutions, ETL/ELT, API integrations, and mentor engineers while ensuring reliability, security, and performance across analytics platforms and customer-facing data services.

Lead the technical roadmap and hands-on development of a scalable data platform, build analytics and data access solutions, ensure data quality/governance/observability, mentor and grow a team of data engineers, collaborate cross-functionally, and evaluate new big-data technologies.

The Data Product Manager will lead cross-functional teams to create high-impact data products, translate business needs into technical requirements, and manage product roadmaps. Responsibilities include collaborating with stakeholders, optimizing product performance, and ensuring compliance with industry standards.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Data QA Engineer is responsible for ensuring data quality through automated testing frameworks, SQL queries, and collaboration with analytics teams.

The Junior Data Analyst analyzes data, creates reports, maintains databases, identifies trends, collaborates with teams, and documents processes to support decision-making.

Lead design and governance of enterprise data architecture for an integrated care platform. Architect scalable Azure-based data platforms, data lakes/warehouses, ETL/ELT pipelines, and integration across EHR, Dynamics, claims, and third-party systems. Establish data governance, quality, metadata and MDM standards, ensure HIPAA/HITRUST compliance, leverage AI for system improvements, and partner with product, engineering, clinical, and business stakeholders to deliver secure, high-performing analytics and reporting solutions.

In this role, you will design data architecture, lead integration strategies, mentor engineers, and drive AI infrastructure for cross-division data systems.

The Sr. Data Engineer - Databricks designs and maintains scalable data solutions using Apache Spark and Databricks, ensuring data quality and performance for analytics and reporting.