Top Remote Data Analyst Jobs

Owns fraud and market-abuse detection models, rules, and partner-facing surveillance reporting across trading data. Investigates wash trading, collusion, hedging, reverse trading, and other suspicious activity; calibrates thresholds, validates false positives, maintains data quality, and produces evidence-based findings. Requires strong SQL, cloud data warehouse experience, futures and derivatives knowledge, anomaly detection expertise, and the ability to communicate findings to partners and executives.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

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.

Owns complex consumer experience reporting and analytics initiatives, developing scalable data models, dashboards, scorecards, and executive insights. Partners with product, operations, engineering, and data teams to define metrics, ensure data quality, govern reporting standards, and improve self-service analytics. Leads functional projects, resolves ambiguous analytical challenges, mentors analysts, and evaluates automation and AI-enabled capabilities.

Analyzes complex healthcare data, including claims, membership, provider, and utilization datasets, to identify trends and support strategic decisions. Maintains data systems and reporting databases, formats and imports warehouse data, and conducts quality audits and validation. Develops reports, visualizations, and performance analyses covering financial, clinical, and operational metrics, resolves discrepancies, and collaborates with teams to improve measurable outcomes.

Designs and maintains SQL/Python data pipelines, warehouse models, and Power BI dashboards supporting finance planning, forecasting, budgeting, and book close. Owns solution architecture from requirements through deployment, validates data and systems, resolves process and reliability gaps, and manages multiple enhancements. Collaborates with business and technical stakeholders, mentors analysts, leads continuous improvement, documents solutions, trains users, and develops automated and AI-enabled efficiencies.

Build and maintain business-facing analytical applications, Tableau dashboards, reports, and Cube semantic models. Develop production code in Python and JavaScript, query Amazon Redshift, manage Salesforce reporting, and implement data quality validation, governance, access controls, and row-level security. Collaborate with cross-functional stakeholders to translate business needs into reusable data products, support data-driven decisions, and deliver projects through Git-based workflows, code reviews, and CI/CD.

Perform structured data conversion, cleansing, validation, and mapping for system implementations. Execute validation scripts, support UAT, document discrepancies, reconcile legacy and converted data, and escalate anomalies to senior consultants while maintaining organized records and templates.

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.

Supports NASA’s Wildland Fires Program and FireSense Project through scientific literature review, air quality and Earth science data analysis, sensor data processing, data quality control, uncertainty propagation, field data organization, and development of data pipelines and algorithms. The role analyzes ground, airborne, satellite, spectral, and spatiotemporal datasets using Python, Igor Pro, and GIS while collaborating with multidisciplinary teams.

Own regulatory analytics and reporting by building audit-ready datasets, dashboards, data models, pipelines, governance controls, and compliance automations. Analyze complex financial and compliance data, support audits and risk assessments, monitor data quality, and translate regulatory requirements into reliable reporting solutions using Python, SQL, dbt, and Airflow. Partner with engineering, analysts, compliance teams, and leadership to deliver actionable insights and improve regulatory processes.

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.

Analyze and exploit large-scale datasets to identify patterns, fuse multi-INT data, and develop actionable financial intelligence. The role requires SQL and advanced data manipulation skills, with Python automation experience preferred. The analyst will translate complex data exploitation into technical workflows, target discovery, and high-impact briefings for senior leadership. Intelligence Community or cyber operations experience is advantageous.

Analyzes financial data and systems, develops SQL queries and stored procedures, supports system implementations and workflows, creates actionable reporting, evaluates process improvements, and communicates financial and operational impacts. The role partners with business and technology teams to refine requirements, troubleshoot systems, recommend changes using analytics, and improve solutions involving SQL, SSIS, Databricks, and Python.

Analyzes large datasets from multiple sources, creates and validates recurring reports, monitors process performance and customer satisfaction, and identifies improvements to data collection. The role requires SQL and Python proficiency, data visualization experience with Power BI or Tableau, familiarity with ETL processes, strong analytical skills, attention to detail, and effective communication. It supports healthcare value-based care initiatives and reports to the Manager of Data Analytics.

Supports client analytics and business-systems engagements by preparing, validating, mapping, and analyzing data; configuring and testing ERP systems; creating Tableau visualizations and reports; documenting processes; supporting data integration; and communicating with stakeholders. The role works under Lead Analyst guidance while developing ERP, consulting, and account-facing expertise.

Build and maintain clinical site payment forecast models, link forecasts with Medidata Payments, analyze plan-versus-actual variances, reconcile study closeouts, support audits, and produce accurate client-ready financial reports. The role collaborates with clinical operations, revenue recognition, clinical payments, investigator grants payments, and project teams while ensuring compliance with accounting, revenue recognition, and sponsor requirements.

Build and maintain spectrum and site databases supporting NEXRAD radar relocation analysis. Ingest, normalize, validate, and document data from multiple government and commercial sources; structure RF parameters for engineering analysis; maintain site risk classifications; prepare priority datasets; develop queries, validation checks, exports, dashboards, and recurring reports; reconcile measured and predicted interference results; and ensure CUI-compliant data lineage and documentation.

Lead analytics and data science for long-term care insurance claims: analyze healthcare and claims data, build predictive models, perform EDA, prototype solutions, collaborate with stakeholders, and translate insights into business recommendations to improve reporting and decision-making.

Analyze contributor performance, dataset quality, production efficiency, and client delivery metrics. Build dashboards and reports, conduct cohort and trend analysis, monitor quality benchmarks, identify data integrity issues, and translate findings into actionable recommendations. Collaborate with Data Operations, Engineering, Product, and Quality Assurance teams to define metrics and evaluate improvements.

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.

Analyzes and documents finance and accounting business processes, requirements, use cases, and system gaps for new technical solutions. Conducts fact-finding with business leaders and process owners, identifies improvement opportunities, communicates recommendations, and evaluates financial and operational impacts. Supports project artifacts, system migrations, and process efficiency initiatives while managing competing priorities and delivery timelines.

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.

Supports public health data extraction, management, quality assurance, cleaning, validation, harmonization, documentation, and statistical and qualitative analysis. Develops analytic datasets and evaluates program implementation, reach, fidelity, dose, adaptation, and outcomes. Integrates mixed-methods data, interprets findings, prepares technical memoranda, reports, presentations, tables, and figures, and communicates recommendations to program stakeholders. The role also uses Microsoft Office and CDC administrative systems and requires obtaining and maintaining customer clearance.

Build and own customer-facing analyses, dashboards, and reusable reporting for ECP Insights. Conduct customer discovery, define reporting needs, write SQL and Python or PySpark in Databricks, contribute dbt models, validate accuracy, explain methodologies, and help prioritize the product roadmap. Collaborate with product, engineering, and customer-facing teams while handling HIPAA-protected health information.