Top Remote Data Analyst Jobs

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

Design and build scalable data solutions for high-volume transaction streams. Partner with product and business teams to deliver analytics, dashboards, and insights. Lead data strategy, architecture, governance, quality, lineage, and access controls. Enable self-service capabilities and explore new open-source technologies to support business intelligence and operational needs.

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.

Lead data strategy and analytics for Compliance and AML, develop ETL and validations, quantify regulatory risk, communicate insights to stakeholders and regulators, and drive cross-functional compliance initiatives.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

Lead data strategy and analytics for Compliance, focusing on Financial Crimes/AML. Drive ETL, source validation, and analyses to quantify compliance risk, support regulatory engagements, and influence product and compliance roadmaps. Communicate insights through visualization and cross-functional collaboration while leading multiple high-impact workstreams.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

The Data Analyst will generate client reporting using Python and SQL, maintain reporting scripts, conduct quality checks, and enhance data quality for performance analysis.

Lead advanced analytics for healthcare payment integrity using claims data. Design analytical models, deliver BI dashboards and cost-savings initiatives, advise senior leadership, and collaborate cross-functionally to improve claims pricing, adjudication, and client outcomes.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Design and execute clinical evidence studies by developing dbt/SQL data models, automation pipelines, and reports. Integrate and de-identify clinical data across marts, build analysis-ready datasets, maintain code quality, validate outputs, and create visualizations and KPIs to support oncology-focused research and clinical decision-making.

Develop, transform, and model diverse data streams to produce workflows, predictive forecasts, and dashboards. Ensure data integrity, establish data standards, perform statistical analyses, and collaborate with stakeholders to deliver analytic solutions.

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

Analyze datasets to generate reports and visualizations that inform business decisions. Produce regular reporting, create data visualizations, and work cross-functionally to support data-driven strategies with attention to accuracy.

Prepare, clean, reconcile and submit the global employee survey dataset by combining Workday and office submissions. Support data collection, investigate participant queries during the live survey, process post-survey corrections, and update reporting line data to ensure accurate, trustworthy results for the Our Voice survey cycle.

The role involves transforming data into insights, conducting analysis, building data models, and collaborating with marketing teams to optimize campaigns. Strong skills in SQL, Python, and data visualizations are essential.

The Performance/Data Analyst III leads advanced analytics, machine learning modeling, ETL development, and reporting for DOJ operational and strategic needs.

Collects and organizes information for user manuals, training, installation guides, proposals, and reports. Edits functional descriptions and system specifications. Prepares and maintains systems, programming, and operations documentation and procedures. Maintains internal documentation library, supports financial/administrative tasks, coordinates documentation services, and works with Agile teams in a secure remote environment supporting government projects.

The Workday Data Analyst will support Workday deployments, perform data conversion, and assist with various project roles, including analysis and testing.

Perform business analyses, develop hypotheses, build and maintain dashboards in Sigma, support forecasting and budgeting, perform data quality checks, and advise stakeholders to drive data-driven decisions across Growth, Product, Insurance, Finance, and Executive teams.

Perform complex data analysis and predictive modeling for health management programs using financial, pharmacy, claims, provider, and member data. Cleanse and reconcile data, produce reports via Excel/Access/SQL, monitor trends, gather business requirements, update core systems, present findings to stakeholders, assist training junior analysts, and travel quarterly to Tampa, FL.

Lead a small analytics team to produce data-driven insights for marketing and media optimization. Mine proprietary datasets, apply statistical methods, forecast KPI impacts, monitor business metrics, and act as liaison between business and technical teams to drive profitable media and client growth.

Build and maintain the product analytics data foundation: design scalable dbt models, define semantic models and governed metrics, partner with Engineering on instrumentation, certify datasets for BI tools, monitor pipelines and data quality, and use AI to accelerate analytics engineering workflows.