Top Remote Data & Analytics Jobs

Designs, develops, and maintains scalable data pipelines and workflows using Matillion, HVR, and Databricks. Performs data modeling, SQL-based transformation, ETL/ELT optimization, and data quality management. Collaborates with data scientists, analysts, architects, and business data owners to translate requirements into secure, governed data solutions. Documents processes and ensures compliance with security and regulatory standards, including U.S. government cloud requirements.

Build and maintain scalable data platforms, pipelines, observability metrics, metadata-driven solutions, data transformations, and third-party integrations. Collaborate with data scientists, analysts, DevOps teams, and business stakeholders to deliver timely, accurate data and meaningful insights. Responsibilities include optimizing transformations, implementing infrastructure as code, and administering or tuning Snowflake environments.

Designs and delivers analyses, data products, dashboards, automated pipelines, and AI-enabled solutions for enterprise technology operations. Partners with senior leaders to structure ambiguous problems, analyze complex operational data, develop metrics and KPIs, communicate insights, and support analytics model deployment. The role collaborates across data engineering, platform, technical, and business teams to improve performance, investment decisions, and digital transformation.

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.