Top Remote Data & Analytics Jobs

Manage a global analytics case queue and fulfill reporting, order management, and ad hoc analysis requests. Build and maintain data models, Salesforce and Gong dashboards, and performance scorecards. Support sales compensation, incentive validation, quota goal sheets, territory management, pipeline health checks, and data integrity. Partner with Sales Operations, Finance, leadership, and field teams to ensure accurate, actionable reporting and timely commission processing.

Supports Talent Acquisition and HR teams by building Power BI dashboards, Workday reports, MIS reports, and HR analytics. Analyzes recruiting metrics, validates data across HR systems, automates recurring reporting, and identifies trends to improve hiring outcomes. The role requires advanced Excel, basic to intermediate DAX, Workday reporting expertise, data integrity management, and effective stakeholder collaboration.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Build and maintain a database-first GIS system supporting analysis of more than 150 NEXRAD radar sites. Integrate terrain, obstruction, spectrum, imagery, parcel, and field-survey data; produce spatial analysis layers, dashboards, maps, and reports; apply geospatial standards; maintain site records; and ensure compliance with Controlled Unclassified Information requirements. The role is fully remote with minimal occasional travel and supports a federal program contingent on contract award.

Analyze large, multi-source datasets to identify trends, risks, opportunities, and performance drivers. Build Power BI dashboards, reports, KPI scorecards, and analytics-ready datasets using SQL. Partner with business leaders and stakeholders to clarify questions, evaluate initiatives, maintain data quality, and develop actionable recommendations. Present insights through clear visualizations and data storytelling, while managing multiple analytics assignments and contributing to team best practices.

Supports the Transformation Office through enterprise KPI reporting, performance analysis, executive dashboards, governance materials, and strategic insights. The role identifies risks and opportunities, validates initiative updates, tracks decisions and action items, and prepares executive, board, and investor-ready reporting. It partners with Finance and senior leaders to connect transformation progress with business outcomes and uses Power BI to develop dashboards.

Supports commercial loan system administration, department reporting, and analysis of deposit and lending activities. Works with large datasets across multiple systems to synthesize actionable insights, collaborates with credit union departments, and performs related administrative and analytical tasks under supervision. The internship is fully remote with optional office work and is limited to 29 hours per week.

Leads the design, development, and implementation of advanced Power BI business intelligence solutions. Builds reports, dashboards, semantic models, and data transformations using Power Query and DAX; analyzes complex datasets; applies AI and analytics technologies; provides technical leadership, governance, stakeholder guidance, and mentoring across multiple projects.

Build SQL views and dashboards in Databricks, translate business requirements into reporting assets, document data logic and metadata, validate report accuracy, monitor data quality, and support AI-ready data discovery. Partner with business stakeholders and use tools such as Tableau, Power BI, Looker, Python, PySpark, dbt, and Git to improve reporting and analytics capabilities.

Leads causal inference studies, clinical outcomes analysis, member insights, and strategic opportunity sizing. Translates ambiguous business questions into analytical approaches, applies statistics and machine learning, establishes analytics best practices, mentors analytics professionals, and presents recommendations to executive leadership. Requires healthcare payer data expertise, advanced quantitative methods, strong SQL and Python skills, and experience with cloud data platforms and scalable analytical datasets.

Lead development and delivery of enterprise risk adjustment analytics and BI solutions. Translate clinical, claims, and operational data into actionable provider and market-level insights, drive KPI reporting, modernize analytics via AI/automation, oversee BI platform strategy, and lead a team to support stakeholders across Risk Adjustment, Finance, Clinical, and IT.