Top Remote Data Analyst Jobs

Extract, clean, and analyze data from multiple sources, maintain ETL pipelines and data quality, build dashboards and reports, and partner with IT and business teams to deliver actionable insights.

Support People Operations by auditing and maintaining HR data across systems, resolving discrepancies, and ensuring data quality. Manage compensation tasks including survey participation, bonus administration, benchmarking, and reward letters. Partner cross-functionally with HRIS, Compensation, Benefits, Finance, and Revenue Operations. Ensure data privacy, security, and compliance while enabling accurate reporting and analytics.

Develop scalable analytics assets and serve as the Power BI/Microsoft Fabric expert. Build and publish trusted datasets, semantic models, and dashboards; author Databricks workflows and production SQL; apply R for statistical analysis; ensure governance, versioning, and reproducibility; partner with stakeholders and Data Engineering to deliver high-impact insights, define KPIs, and communicate executive-ready recommendations.

Research, evaluate, and manage partnerships with data providers. Assess datasets for coverage and interoperability, support deal structuring, maintain partnership pipeline, and collaborate with product, engineering, and legal to integrate data into the platform.

Lead role combining program performance management and data analytics to administer EVMS and program management tools, develop automation, perform cost/schedule analysis, mentor teams, and drive process improvements to support DoD/defense programs.

As a Senior Data Analyst, you will analyze data, create reports, manage data pipelines, and provide insights to influence product decisions. You will collaborate with various teams and perform A/B testing.

Lead analytics for product or business domains by transforming data into actionable insights. Define and track KPIs, build dashboards and reports, perform EDA, cohort/funnel and A/B test analysis, validate data quality, partner with Product and Engineering, use AI tools to accelerate analysis, mentor junior analysts, and manage end-to-end analytical projects.

Manage end-to-end analytics for performance guarantees across strategic accounts: execute recovery and accrual analytics, build SQL-based pipelines and Looker dashboards, support RFPs/renewals with scenario modeling, partner with Sales/Customer Success and Data Engineering, and present technical findings to internal leaders and clients to mitigate financial risk and drive actionable insights.

Evaluate and profile data from legacy and disparate systems to assess quality, completeness, and consistency; identify gaps and anomalies; recommend remediation and readiness actions for system modernization and migration; document findings; and collaborate with technical and program stakeholders to improve data usability for reporting and analytics.

Lead and coordinate ERP data conversion and migration activities for a large SAP S/4HANA implementation. Create conversion specifications, data mappings, and models; drive execution, track milestones, manage risks, resolve issues, and communicate with cross-functional stakeholders. Support build, testing, migration, cutover and hyper-care while optimizing resources, reporting analytics, and improving cutover quality and efficiency.

Lead and support actuarial data projects: investigate and extract data, validate reports, address data quality, modify SQL/SAS/4GL programs, produce tabular/graphical outputs, communicate results, coach team members, and participate in project leadership and data-system decisions.

Design and deliver AI-powered analytics, dashboards, and decision-support tools for commercial healthcare teams. Build LLM-based agents, use cloud data platforms (Azure/AWS/Snowflake), ensure data governance and compliance, translate complex healthcare data into executive-ready insights, and automate insight generation to support growth and operations.

Build and maintain marketing performance analytics, dashboards, and models across CRM, loyalty, media, digital, menu, and guest relations. Mine and integrate data from multiple systems, run segmentation, lift and predictive analyses, quantify ROI/ROAS, and deliver executive-ready insights to optimize campaigns and enable hyper-local personalized marketing.

Lead research and thought leadership on data management and AI readiness, produce actionable insights, advise clients and sales, present at events, mentor analysts, and improve research processes to drive client outcomes.

Lead data governance for a major enterprise platform migration: liaise with stakeholders, profile and map data, define standards and business rules, validate ETL/MDM mappings, document metadata and lineage, and support data quality and governance processes throughout migration and post-implementation.

Lead enterprise data analysis and governance: elicit requirements, define KPIs, maintain logical data dictionary and data lineage, validate and curate data, design ETL/data integration needs, produce dashboards and actionable insights, drive automation/AI-first improvements and mentor junior team members.

Lead Data QA for the Enterprise Data Warehouse: define QA strategy, design and execute source-to-target validations, CDC and ETL checks, data masking verification, build quality dashboards and automations, mentor QA analysts, manage defects and release readiness, and collaborate with Data Engineering, BI, Product, and stakeholders to ensure data is accurate, complete, and audit-ready.

Transform operational and financial data into actionable insights to support vaccine purchasing programs. Build dashboards and reports, monitor manufacturer contract compliance, analyze purchasing and enrollment trends, support revenue optimization and rebate/commission reporting, maintain Salesforce data integrity, and drive process improvement and automation across cross-functional teams.

The Data & Accounting Analyst will analyze financial and marketing data, create detailed reports, and ensure accuracy in financial data to support strategic decisions.

The Data Product Analyst will own Signals data products, work with AI and Data Engineering, ensure data quality, conduct analyses, and shape product improvements through client feedback.

Analyze large complex datasets to identify trends and anomalies, produce actionable insights and financial models, document processes, present findings to stakeholders, manage projects and client relationships, mentor junior staff, and support planning and delivery.

The Revenue Operations Analyst will manage CRM systems, optimize data workflows, support lead management, and enhance reporting for revenue operations.

Support healthcare and operational analytics by extracting, validating, and analyzing claims, pharmacy, lab, and operational data. Develop and maintain reports and dashboards using SQL, Excel, and BI tools, document workflows, meet regulatory reporting needs, and present insights and recommendations to stakeholders.

Serve as client-facing lead for environmental data management and sustainability strategy. Analyze energy, water, GHG, and waste performance; provide reporting and regulatory guidance; manage vendors and ESG platforms; support green building certifications (LEED, ENERGY STAR); produce high-quality reports, presentations, and deliverables; and coordinate multiple projects with strong communication and project management.

Lead healthcare payment integrity analyses, collaborate with clients and internal teams, build and maintain large-scale SQL and Spark queries, design ETL/ELT transformations, implement AI/LLM-driven analytical workflows, perform data quality monitoring, and mentor analysts while documenting lineage and audit-ready methodologies.