Top Remote Data & Analytics Jobs

The Data Scientist will work on data analysis, visualization, and reporting, utilizing various tools to assist stakeholders' needs.

Own and build the support reporting layer: ticket volume, SLA, resolution times, CSAT/CES/sentiment, and capacity. Produce dashboards and analyses for leadership and engineering, maintain data quality and governance, prioritize issues using multi-signal models, and surface Voice of Customer trends to close the loop with Product and GTM.

Lead end-to-end encounter data management for CMS/state Medicaid submissions. Validate and optimize ETL converting source data into HIPAA X12 837P, support regulatory audits, analyze trends and root causes, liaise across business/technical/operations teams, and recommend process improvements to ensure compliance and data integrity.

Entry-level role that researches, creates, cleans, scrubs, and manages contact lists for EBQ and clients. Meet monthly targets, use Excel/Google Sheets and online research, work collaboratively, follow company policies, and perform other assigned duties.

Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.

Lead growth analytics for Spark: analyze large datasets, design event tracking, build dashboards, run and validate experiments, model forecasting and LTV, ensure measurement/attribution integrity, and surface growth opportunities to product and marketing teams.

Lead development of scalable marketing data models, pipelines, and BI solutions. Partner with Marketing to define metrics, build dashboards, enable self-service analytics, and drive data governance and best practices.

Design, build, and maintain scalable data pipelines, lakes, and infrastructure using Databricks, Spark, Python, and AWS. Collaborate with ML engineers, data scientists, and analysts to deliver data products, ensure data quality and governance, implement DevOps/SDLC practices, mentor junior engineers, and evaluate new data technologies.

Lead implementation and configuration of Adobe Analytics and Adobe Target across web and mobile, design tagging and data architecture, translate business needs into tracking requirements, troubleshoot data collection issues, integrate with CDP (Hightouch), document data dictionaries, and drive adoption of analytics across cross-functional teams.

Lead and optimize risk adjustment data submissions (CMS, HCCs, HEDIS), develop and maintain reporting, validate data integrity, oversee vendors, support audits (RADV), mentor analysts, and recommend process improvements to maximize risk scores and quality payments.