Top Remote Senior Data Analyst Jobs

Analyze Construction & Design Services project data to produce reports, dashboards, and predictive/prescriptive models. Build data pipelines and models, mine large datasets, collaborate with IT and stakeholders, support data governance, respond to ad-hoc requests, and improve decision-making through visualization and analytics.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.

Lead advanced analytics and predictive modeling for readiness-based spares and sustainment decisions. Translate business problems into analytical frameworks, build predictive/diagnostic models, document data pipelines, mentor junior analysts, and collaborate with engineering and program stakeholders to support Navy and Department of War programs.

Own and build audit-ready data architecture, ETL pipelines, and validations to support internal audit. Maintain inventories, playbooks, and catalogs; assess downstream impacts of schema changes; implement automated data quality checks and monitoring; and translate audit/business requirements into technical specifications for stakeholders.

Analyze and reconcile enrollment and member data across Medicaid, Medicare, Marketplace, and Duals. Build reports and dashboards, fix data issues, apply statistical techniques, consolidate disparate sources, and partner with operations to ensure accurate coverage and regulatory compliance.

Analyze large healthcare datasets and develop complex SQL queries using Azure Synapse/Databricks. Build Power BI reports, produce monthly reconciliations and ad-hoc analyses in Excel/PowerPoint, support payments to value-based specialists, evaluate and expand value-based programs, automate processes with Power Automate/Power Apps, and communicate findings to senior leadership while spearheading new technologies.

Leads clinical data risk management and central monitoring for multiple clinical studies. Responsibilities include evaluating trial data for risks and trends, selecting KRIs, overseeing signal tracking and quality control, analyzing discrepancies, developing mitigation strategies, supporting data governance and compliance, coordinating stakeholders, and mentoring junior staff.

Lead research and deliver strategic and tactical advice on AI data security and AI ecosystem data management. Produce written research, briefings, and presentations; advise clients and stakeholders; grow networks of thought leaders and vendors; ensure research integrity and collaborate across Gartner to support deliverables. Travel up to 25%.

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.

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.

Validate and triage clinical data across HL7, FHIR, and Databricks pipelines using SQL. Trace transformations end-to-end, identify and remediate data quality issues, partner with engineering/product/clinical teams, document findings, and support client go-lives to ensure clinically accurate, production-ready data.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

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.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

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.

Analyzes complex claims data to create SQL- and Power BI-based dashboards, reports, scorecards, forecasts, and actionable insights. Identifies claims leakage, payment anomalies, fraud indicators, reserve activity, and operational inefficiencies. Partners with Claims Operations, IT, Data Engineering, and leadership to improve reporting reliability, business performance, and decision-making. The role also supports statistical analysis, reporting governance, and AI-assisted analytics initiatives.

Advise Product, Innovation, and R&D teams on privacy-by-design, data use, and global privacy compliance. Lead PIAs and DPIAs, map data flows, assess health information and research data uses, evaluate third-party privacy risks, and translate legal requirements into development-ready guidance. Partner with engineering on privacy controls, advise on AI/ML and connected-device offerings, create scalable privacy processes, deliver training, and support responsible product launches and commercialization.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

The Senior Marketing Data Analyst will analyze customer behavior, optimize marketing spend, and develop actionable strategies while managing the marketing data infrastructure and producing insights for decision-making.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

Develops scalable data models, dashboards, reports, and analytical solutions that support business decisions. Partners with stakeholders to translate requirements, ensures data accuracy and usability, provides technical guidance to end users, documents architectures and processes, and communicates findings to technical and non-technical audiences. The role requires advanced Spotfire, SQL, and business intelligence experience, plus familiarity with modern data platforms and AI-assisted development tools.

Analyzes healthcare claims, provider, reimbursement, and financial data to support out-of-network dispute negotiations, arbitration, QPA accuracy, and IDR performance. Builds SQL-based reports, dashboards, data processes, metrics, and financial views; validates data quality; integrates internal and external sources; identifies trends and risks; and presents actionable recommendations to leadership and cross-functional stakeholders.

Conduct research and provide strategic advice on HR technology, data governance, HCM systems, and AI’s impact on HR. Develop thought leadership, market analysis, presentations, and client recommendations for CHROs and HR technology leaders. Track vendors and emerging technologies, support sales and conferences, review peer content, improve research processes, and mentor junior analysts. The role requires executive presence, strong analytical and communication skills, and collaboration with global clients, including at least 6–8 hours monthly supporting Asia-Pacific organizations.