Top Remote Data Analyst Jobs

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 Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

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

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

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Investigate customer data questions using SQL, identify root causes across data sources, communicate findings, write engineering tickets, and improve data quality and platform reliability while developing Python, Git, and software engineering skills to transition into a Junior Software Engineer role.

The Compensation Data Analyst ensures data accuracy and integrity for compensation insights, troubleshooting data issues, and collaborating with various teams to maintain 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.

Lead implementation and enablement of digital analytics tools across consumer applications. Translate technical specs, manage projects and cross-functional stakeholders, validate releases, oversee capacity planning, and drive process improvements for tag management and analytics deliveries.

Identify, analyze, and prevent Medicaid fraud, waste, and abuse by developing and deploying detection algorithms, writing advanced SQL, researching claims data, producing reports and visualizations, troubleshooting client issues, and mentoring analysts while collaborating with engineering and product teams.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.

Support healthcare research projects by cleaning, managing, modeling, and visualizing large claims and survey datasets (e.g., CMS, MEPS). Produce statistical analyses, documentation, and client-ready reports using SAS and Python/R while following quality assurance and project timelines.

Transform Medicare/CMS claims into reproducible measures and benchmarks for Home Health and Hospice. Build and optimize SQL-based extracts in BigQuery, translate CMS methodologies into analytics, validate metrics against CMS benchmarks, investigate data quality, prepare outputs for BI tools, and collaborate with product and engineering teams.

Develop, maintain, and automate dashboards and reports (Tableau/Power BI, Salesforce). Pull, validate, reconcile data from multiple sources, analyze variances, ensure data quality, support software and database integration, document processes, respond to ad-hoc requests, and collaborate with program and software teams to improve reporting and workflows.

Senior analytics partner supporting Credit teams: build and optimize SQL queries, use Python for advanced analysis and automation, create Power BI and SSRS reports, perform Excel deep-dives, analyze credit metrics, validate and reconcile data, communicate insights to stakeholders, support automation and mentor junior analysts while ensuring governance and regulatory compliance.

As a Data Analyst, you'll analyze operational data, build dashboards, and partner with teams to drive decisions through data insights.

The Data Analyst will manage LesBaird Consulting's RMA process, maintain accurate Install Base data, and implement process improvements across operations.

The Senior Marketing & Data Analyst will lead complex analytics projects, perform data analysis and reporting, ensure data integrity, and provide actionable insights based on market data to optimize business processes and inform decision-making.

As a Data Analyst Intern, you will assist in data collection, cleaning, analysis, and visualization to support business decisions in a remote setup.

Analyze large training and telemetry datasets using SQL and Python to measure ROI and human risk, build executive dashboards in Looker/Tableau, audit data integrity, run behavioral analyses to identify high-risk cohorts, and present actionable insights to federal stakeholders while partnering with Data Engineering and Product.

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

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.

Support data collection, cleaning, and preliminary analysis. Write and run SQL queries, use statistical tools and Python, produce visualizations, document methods, troubleshoot analytics tools, and collaborate with cross-functional teams to deliver actionable insights.

Validate accuracy, completeness, and integrity of migrated trading and tax-lot data for IRS reporting. Perform source-to-target reconciliations, identify and resolve variances, support Forms 1099-B readiness, manage exceptions, document results, and partner with Operations, Technology, Tax, and vendors to ensure correct data transfer.