Top Remote Data & Analytics Jobs

Analyzes business needs, gathers requirements, researches solutions, creates technical documentation and timelines, and participates in the software development lifecycle. The role stress-tests solutions, supports UAT, maps and maintains financial data tables, and collaborates with IT and Analytics on data issues. It requires experience with Snowflake, SQL, Power BI, or Python, plus knowledge of health insurance data domains, system development methodologies, and process analysis.

Support implementation of Bluesight SaaS products by helping hospital customers extract, transform, load, validate, reconcile, and analyze data. Configure infrastructure, troubleshoot technical issues, write and update scripts and SQL, document processes, and collaborate with implementation, product, and engineering teams to improve data pipelines. The role combines customer-facing communication with technical data integration work involving cloud services, databases, command-line tools, and multiple programming languages.

The Senior Business Analyst is responsible for functional analysis, scenario planning, predictive modeling, and bridging business and technical requirements to enhance decision-making through advanced analytics.

Participate in an internship focused on database modeling and optimization, data analysis and consolidation, data quality, and data support. Work alongside experienced professionals on real-world projects while developing technical and professional skills. The program requires prior knowledge of data concepts, spreadsheets, databases, programming logic, and analytical problem-solving.

Leads client-facing marketing analytics engagements, developing measurement strategies, attribution and media mix frameworks, predictive models, segmentation, forecasting, and cross-channel insights. Partners with executives, translates complex customer data into business outcomes, leads enterprise analytics initiatives, presents strategic recommendations, mentors analysts, and oversees modeling and data integration projects using modern cloud, database, visualization, and machine learning technologies.

Leads end-to-end workforce planning for a large outpatient therapy organization. Responsibilities include workforce forecasting, capacity modeling, statistical analysis, dashboard and report development, historical trend analysis, and actionable recommendations. Partners with Operations, Talent Acquisition, Field Leadership, and senior stakeholders to optimize workforce plans, present findings, and support strategic decisions across multiple states, locations, service lines, and disciplines.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.

Owns end-to-end data engineering on Microsoft Fabric, including Bronze, Silver, and Gold medallion pipelines, event-driven ingestion, CDC, schema evolution, data quality, orchestration, and production observability. Manages Azure DevOps CI/CD and environment promotion, integrates data feeds with Pecan AI models, and supports Power BI semantic models and governance. Requires advanced SQL, Python, PySpark, Delta Lake, Azure, KQL, Power BI, Git, and data engineering experience.

Analyze and maintain sensitive People Legal data across Salesforce, Workday, DocuSign, eBilling, and case management systems. Produce operational reports, identify data trends and process bottlenecks, support regulatory filing accuracy, and recommend workflow improvements. Partner cross-functionally to manage data requests, improve data integrity, and develop AI-ready data architecture using automation and collaboration tools.

Build and maintain scalable data platforms, pipelines, observability metrics, metadata-driven solutions, data transformations, and third-party integrations. Collaborate with data scientists, analysts, DevOps, and business stakeholders to deliver accurate, timely data and meaningful insights. Responsibilities include optimizing workflows, implementing infrastructure as code, and supporting cloud-based data systems.