Remote Data Analyst Jobs in United States
Browse 367 remote Data Analyst jobs in the United States, with 64 added this week. Pay averages $111,394 a year, from $95K for junior roles to $139K for lead roles.
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The analyst will empower Customer Experience teams by translating operational data into reliable reporting and actionable business insights. They will also manage end-to-end reporting projects, maintain Tableau dashboards, and implement automation to improve data scalability.
The Data Analyst will interpret complex data sets to identify trends and patterns while developing dashboards and reports to communicate actionable insights. They will collaborate with IT and data engineering teams to optimize data collection, storage, and integration processes.
Lead the design, monitoring, and interpretation of experiments across Product and Marketing, translating results into business recommendations and mentoring analysts in experimental methods. Build and maintain dbt models, dashboards, metrics, and self-service data assets while partnering with stakeholders and engineering to improve tracking, reporting, and analytics delivery.
The analyst transforms complex coding and revenue cycle data into actionable insights to support strategic decision-making and operational performance. They are responsible for developing dashboards, managing KPIs, and collaborating with stakeholders to optimize coding workflows and technology.
The Lead Data Analyst will define analytical strategies, establish canonical metrics, and manage a small team of analysts. They are responsible for ensuring data accuracy, driving metric definitions within the dbt layer, and collaborating with cross-functional teams to support organizational goals.
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The analyst will manage program data operations, including extraction, cleaning, and quality assurance to support reporting and evaluation. They will also conduct descriptive analyses, track performance indicators, and collaborate with teams to improve data workflows.
This role involves analyzing complex business data to identify trends and actionable insights that drive strategic decision-making. The analyst will collaborate with cross-functional teams to develop reports, dashboards, and data models while ensuring data integrity and accuracy.
Manage the intake and approval process for AI use cases while facilitating risk assessments and documenting controls. Coordinate reviews with cross-functional partners and maintain audit evidence to ensure AI adoption remains safe and compliant.
You will perform daily revenue cycle data analytics tasks and provide process improvement solutions using Kodiak's technology. The role involves collaborating with internal and external clients to ensure data quality and insightful reporting.
Lead complex data analysis and research, transforming large and diverse datasets into actionable insights for data-driven decision-making. Assess data quality, prepare datasets for analytical models, apply advanced statistical and machine-learning methods, and communicate findings to technical and non-technical audiences.
The Senior Data Analyst will drive insights to optimize paid channels, user journeys, and retention while collaborating cross-functionally with Growth and Product teams. Responsibilities include managing ad network analysis, developing experiments, and ensuring high data quality through robust tracking and instrumentation.
The analyst will measure and manage operational safety hazards and trends across the KC-46 fleet using MFOQA data and visualization software. They will also collaborate with AMC staff to identify deviations from standard procedures and develop corrective actions to enhance flight safety.
The Flight Data Analyst will analyze aircraft flight data to identify operational hazards, trends, and risks within the C-37 fleet. They will collaborate with program managers to develop safety processes, generate analysis products, and coordinate corrective actions to enhance aviation safety.
The Data Analyst will build and maintain operational and executive reporting using Power BI and SQL to support business decision-making. They will also perform ad-hoc analysis, document metric definitions, and develop lightweight process automations to improve operational efficiency.
Architect and own complex, cross-domain analytics solutions and semantic-layer views, while setting technical direction and supporting self-service and natural-language query capabilities. Partner with senior business and clinical stakeholders, mentor analysts, uphold data quality standards, and validate AI-generated insights before they reach stakeholders.
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Lead analytics and machine learning projects to detect and prevent fraud, waste, and abuse in Medicare and Medicaid, including hands-on claims analysis and predictive modeling. Guide project teams, communicate actionable findings to technical and non-technical audiences, and promote effective data management and analytics practices.
The analyst will serve as a subject matter expert for defined benefit pension administration, ensuring data integrity and supporting complex actuarial valuation projects. They will also lead client change initiatives and provide actionable insights through advanced data analysis and reporting.
The Data Analyst II is responsible for conducting moderately complex data analysis, creating reports, and developing dashboards to support decision-making. They also act as a data steward, ensuring data integrity and collaborating across departments to improve operational performance.
The specialist serves as a technical lead for engineering labor market intelligence, data structures, and predictive frameworks for rural health dashboards. They are responsible for developing in-demand healthcare occupational algorithms and longitudinal outcome metrics to support workforce recruitment and retention.
The analyst will lead complex data projects and provide advanced analytical support for business operations including claims, provider, and clinical data. They are responsible for extracting, modeling, and reconciling large datasets while creating dashboards and reports to drive operational improvements.
The manager will lead a team of analysts to perform complex data analysis, BI reporting, and healthcare financial assessments to support strategic decision-making. They are responsible for identifying revenue leakage, automating reporting processes, and ensuring data accuracy across various business departments.
The Principal Data Analyst leads the analytical lifecycle for clinical initiatives, providing advanced insights to inform clinical strategy and operations. They act as a strategic partner to executives while mentoring team members and establishing technical standards for data governance.
The Data Analyst supports the Supply Chain team by developing data products, dashboards, and reports to improve operational efficiency. They perform data extraction, quality checks, and collaborate with stakeholders to translate data into actionable insights.
Develop and maintain key revenue, customer, and product usage metrics while building modern analytics experiences using Microsoft Fabric and Power BI. Partner with cross-functional teams to define metrics, uncover actionable insights, and collaborate on data quality and scalable analytical datasets.
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Design, develop, and maintain interactive dashboards and reports using ServiceNow Performance Analytics and Microsoft Power BI to track IT service performance. Collaborate with stakeholders to automate reporting, analyze ITSM data trends, and provide government leadership with actionable performance insights.
Lead procurement and spend analysis for a public university system, reconciling and classifying records across campuses and reporting years while preserving traceability and documenting data-quality resolutions. Prepare clean datasets and coverage statements for dashboards and reports, collaborate with data science and dashboard teams, and serve as the primary analyst or task lead on smaller assignments.
The analyst will inventory projects, teams, and workflows while documenting Jira Cloud usage to support modernization initiatives. They will also design assessment tools, analyze survey and performance data, and produce actionable findings for leadership.
The role involves analyzing supply chain data for cybersecurity risks and ensuring compliance with CMMC and DFARS/FARS regulations. The analyst will also coordinate incident reporting and maintain organizational training materials to support supply chain resilience.
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The average salary for remote Data Analysts in the United States is $111,394 per year. This is based on data from 122 job openings. We use the yearly salaries in US dollars from these job postings to calculate salary expectations. Below is a breakdown of salary data by years of experience:
| Experience | Salaries counted | Average salary |
|---|---|---|
| Junior2–5 years | 53 | $95,424 |
| Senior5–10 years | 56 | $122,492 |
| Lead10+ years | 11 | $138,564 |
We reviewed 183 job postings for remote Data Analysts in the United States and found these are the skills employers ask for most often:
| Skill | Share of job posts |
|---|---|
| SQL | 70% |
| Data analysis | 66% |
| Data visualization | 49% |
| Python | 45% |
| Power BI | 33% |
| Tableau | 30% |
| Reporting | 30% |
| Communication | 23% |
| Business intelligence | 22% |
| Data Modeling | 22% |
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