Top Remote Data Analyst Jobs

Lead finance data governance, quality validation, reconciliation, SOX control execution, audit support, and finance-system integration initiatives. Define data standards, lineage, controls, and validation criteria across ERP, subledger, reporting, and interface environments. Partner with Accounting, Finance, Technology, and business teams on requirements, testing, cutover, defect resolution, change management, and post-production validation to ensure accurate, complete, traceable, and reliable financial data.

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

Serves as an enterprise architecture subject matter expert within a DoD environment. Supports DoD Business Enterprise Architecture initiatives, business process alignment, enterprise strategy, stakeholder analysis, requirements documentation, reporting, and project activities using MEGA HOPEX and Microsoft Office tools.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Administer and improve Workday and multi-platform HR security, including role-based access, security groups, access reviews, request approvals, audit support, governance documentation, and compliance controls. Evaluate elevated access requests, identify risks, resolve routine issues, coordinate remediation, and escalate complex decisions. Partner with HR, IT, Legal, and Compliance stakeholders to strengthen policies, processes, and least-privilege access across Workday, Peakon, UKG, Prism, and HR data platforms.

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

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.

Develop and govern financial data solutions for Liberty Mutual’s Finance Data Platform. Analyze source data, define transformation and downstream reporting requirements, apply metadata, lineage, security, and compliance principles, and build proof-of-concept solutions using coding and financial data expertise. Collaborate with business and technology stakeholders, define impactful metrics, enable self-service data consumption, mentor junior associates, prioritize Agile work, and identify Gen AI applications for data discovery and documentation.

Analyze and transform cloud data using SQL, dbt, and Google Cloud; build automated pipelines, data visualizations, validation checks, unit tests, monitoring, and alerts. Partner with engineering teams and enterprise insurance clients to improve data quality, governance, automation, and decision-making. Communicate insights clearly, document technical work, develop insurance domain expertise, and contribute to collaborative reviews and on-call support.

Provides analytical support to Carrier and Sales Center teams by developing datasets, dashboards, KPIs, forecasting models, financial reports, and actionable business insights. Responsibilities include stakeholder requirements gathering, data modeling, SQL analysis, visualization, P&L reporting, performance tracking, and communicating recommendations to management. The role also supports strategic initiatives, operational improvements, and end-to-end analytics projects using BI tools.

Maintains and enhances a TypeScript, React, and SharePoint Framework application supporting DoD training range operations. Builds data pipelines, Power BI dashboards, Power Query models, workflow modules, and data visualizations. Troubleshoots software issues, administers permissions, supports users, monitors data refreshes, documents technical solutions, and communicates application updates and insights to technical and non-technical stakeholders.

Analyzes marketing, web, product, and user-behavior data to generate actionable insights. Responsibilities include configuring analytics tools, building KPI dashboards, troubleshooting tracking, conducting ad hoc analyses, leading A/B tests, monitoring anomalies, creating measurement plans, and mentoring junior analysts. The role partners with cross-functional teams to support strategic marketing and product decisions.

Supports business projects and process improvements by analyzing workflows, developing KPI reports, documenting procedures, piloting new processes, resolving enhancement requests, and bridging technical and non-technical teams. Requires SQL Server and report-writing experience, with preferred expertise in Microsoft Office, VBA, and Access. This is a fully remote desk-based role.

Analyze financial and operational data, build reliable data pipelines and metrics, investigate incidents, perform root-cause analysis, and improve complex workflows. The role supports process automation, documentation, technical training, stakeholder communications, and deployment of automated solutions. It requires strong SQL skills, financial systems experience, operational problem-solving, and collaboration with technical and non-technical teams.

Processes and validates financial, payroll, ledger, time-tracking, expense, project, and operational data. Converts information into accurate workbooks, templates, reports, and organized deliverables while maintaining employee, project, and expense records. Researches relevant company and industry information, organizes audit documentation, supports interview qualification summaries, and manages multiple data requests and deadlines in a remote environment.

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.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Serve as the analytics subject matter expert for VA Community Care Program Integrity. Develop complex SQL queries, validate enterprise healthcare data, manage data quality, build KPI dashboards, support pilot data environments, and deliver operational reports and documentation. Collaborate with program, clinical, technical, and evaluation teams to translate complex VA datasets into actionable insights while meeting federal data governance, privacy, and system-access requirements.

The Senior Finance Data Analyst designs, develops, and maintains standardized data methodologies, reporting suites, and data management capabilities supporting FP&A. Responsibilities include analyzing data for strategic decisions, measuring KPI effectiveness, improving systems and user experience, automating decision-making, and partnering with stakeholders, consultants, and contractors. The role requires cross-functional collaboration, independent judgment, strong analytical skills, and the ability to operate effectively in ambiguous, fast-paced environments.

Profiles and analyzes data sources, documents end-to-end lineage, maps source data to canonical models, and supports API schema design. Develops data quality, validation, metadata, and governance documentation while collaborating with engineers, architects, clients, and stakeholders to define clear technical requirements for enterprise data products, APIs, and analytics.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

Develop and optimize Power BI dashboards, reports, data models, and visualizations using DAX and multiple data sources. Translate stakeholder requirements and complex datasets into actionable insights, analyze procurement and operational data, support forecasting and executive reporting, and maintain data accuracy, governance, security, compliance, and documentation.

Entry-level Data Analyst supporting Performance & Analytics for care operations. Build, validate, and QA recurring reports and dashboards (Retool/BI tools), pull and clean payer, clinical, and operational data, investigate discrepancies, maintain workflows and reporting-ready datasets, and support ad-hoc analytical priorities.

The Data Analyst/Programmer II designs and codes software solutions, analyzes large datasets, creates data visualizations and KPI dashboards, performs statistical investigations and root cause analysis, and collaborates with data engineers, architects, scientists, and stakeholders. The role supports Microsoft Azure Cloud and PowerApps solutions and requires SQL programming knowledge and proficiency with Power BI and SharePoint.

Leads clinical outcomes and client experience measurement, administering survey platforms, consolidating data, developing calculation methodologies, and building scorecards and recurring reports. Analyzes trends and provider network performance to identify quality improvements, operational efficiencies, and actionable insights. Collaborates on clinical research, white papers, thought leadership, and continuous improvement initiatives while communicating data limitations and recommendations to clinical and business stakeholders.