Top Remote Data & Analytics Jobs

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

Lead and grow data engineering teams to design and operate large-scale ETL/ELT and real-time streaming pipelines (Kafka), ensure secure, reliable data platforms, collaborate with product and senior leadership, remove delivery roadblocks, and contribute hands-on to architecture and code.

Lead a decision-science analytics team to build predictive forecasting, simulation-based workforce optimization, and decision-support capabilities for Claims. Drive analytic strategy, develop models, partner with stakeholders and IT, and manage hiring, development, and delivery of workforce insights to inform staffing and capacity planning.

Lead development and delivery of advanced data and analytics solutions for P&C marketing and business functions. Set strategy, ensure information governance and compliance, produce actionable insights, drive enterprise decisions, build and mentor large analytics teams, and collaborate with stakeholders to optimize performance and manage risk.

Build, optimize, and support cloud-based SQL Server and Azure database environments. Deploy scalable, compliant data platform solutions, troubleshoot performance, implement IaC, mentor engineers, and support analytics lakehouse and real-time clinical workflows while ensuring regulatory compliance.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

Design and implement enterprise Databricks/AWS data platform and lakehouse solutions for healthcare data. Build and optimize ETL pipelines (Delta Live Tables), medallion architectures, streaming and batch processing, data models (FHIR/OMOP), governance (Unity Catalog), security for PHI/PII, IaC with Terraform, and collaborate with cross-functional teams to deliver reliable, cost-effective external and internal data products.

Design, build, and maintain Databricks-based data warehouse and lakehouse solutions for healthcare data. Implement ETL/streaming pipelines, data governance, security (PHI/PII), Infrastructure-as-Code, cost optimization, and pipeline monitoring while collaborating with cross-functional teams to deliver reliable data products.

Lead data platform architecture and delivery for healthcare-focused Lakehouse/Warehouse solutions. Drive Databricks/AWS design, governance, security (PHI/PII), ETL/Delta Live Tables, APIs, modeling (FHIR/OMOP), IaC (Terraform), pipeline performance, and cross-functional collaboration to deliver scalable, production-grade data products.

The Associate Actuary analyzes financial data to support strategic decisions, maintains NPV models, and collaborates with stakeholders on data integrity and analysis.

Support federal benefits programs by executing eligibility, claims, and financial reports; collaborate across stakeholders, document processes, identify improvements, and assist with reporting and benefits implementation tasks.

Lead population health strategy for Medicaid by improving Member Journey dashboards, translating clinical/state requirements into measurable objectives, designing and evaluating Medicaid programs, partnering with analytics and operations, and advising plan leaders to enable actionable, scalable, and compliant analytics-driven care management.

Support cross-functional teams by driving data-driven decisions: design and analyze A/B tests, model user acquisition levers, surface insights from machine learning models, and identify automation opportunities to improve operational efficiency and partner growth.

Support cross-functional teams by driving data-driven decisions: design and analyze A/B tests, leverage ML models for insights, define growth levers, and automate operational processes to scale customer acquisition and partnerships.

Partner with cross-functional teams to drive data-driven growth initiatives. Design, run, and analyze A/B tests, leverage machine learning for deep analyses, identify scalable acquisition and partnership levers, and automate manual processes to improve operational efficiency and inform product and business strategy.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.