Top Remote Data Analyst Jobs

Perform data extraction from SQL/NoSQL systems, validate and transform data, and run statistical and psychometric analyses (IRT, reliability, norming). Validate assessment logic, define quality metrics, design research and simulation studies, and present findings via reports and dashboards. Collaborate cross-functionally and maintain current psychometric and data engineering practices.

Partner with GTM, Clinical Strategy, and Finance to build and maintain dbt models, client-facing reports, and dashboards. Perform SQL-based analyses, ROI and clinical outcomes reporting, and translate insights for non-technical stakeholders. Ensure data reliability through testing, code review, and collaboration with Data Engineering; support ad-hoc requests and automation of reporting.

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

Remote Data Analyst supporting a federal agency: analyze large datasets, validate financial models, build and maintain Tableau and Power BI dashboards, perform data cleaning and validation, conduct quality control on financial reports, document methodologies, present insights, and support data governance and quality initiatives.

As a Data Analyst, you will create dashboards, analyze data, and ensure data quality while working with the VP of Finance.

Support AI, analytics, and data modernization for VA research: perform ETL, statistical programming, reporting, dashboards, LLM-enabled analytics, data integration, quality validation, and executive-level presentations to improve operational decision-making.

Lead data quality and analytics for VA EHRM deployments by building and validating pipelines, applying SQL/R/Python and NLP/ML, defining governance rules in Purview/Collibra, certifying dashboards (Tableau/Power BI), and delivering actionable visualizations and insights to executive stakeholders.

Support pharmaceutical brand and commercial teams by transforming and integrating healthcare and media data using SQL and cloud warehouses, performing EDA and statistical analysis, preparing datasets for advanced analytics and ML, and building visualizations and dashboards. Communicate insights to cross-functional stakeholders, document methodologies, and maintain analytical workflows and data governance for marketing and analytics use cases.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Build and maintain API-based data pipelines, analyze supply chain metrics, create dashboards and alerts, perform root-cause analysis, define KPIs with stakeholders, and document data models and integrations to improve logistics performance.

The Data Analyst will support a proposal effort and require extensive experience with US Navy project management, needing a minimum of 12 years.

Lead delivery for Billing and Data teams, manage backlogs, conduct UAT, ensure releases meet standards, and maintain platform knowledge.

Build and deliver scalable datasets, reports, and analytical solutions. Partner with stakeholders to define requirements, create and validate datasets, develop SQL/Python pipelines and BigQuery models, produce dashboards and executive insights, resolve data quality issues, and support data warehouse migrations and cross-functional analytics initiatives.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Clean, transform, process, and query programmatic datasets to support educational programs. Ensure data integrity through testing, auditing, and documentation. Build dashboards, automate workflows, identify operational bottlenecks, and provide cross-functional analytical support. Participate in annual student application evaluations and collaborate with program, data, and engineering teams to drive data-driven operational improvements.

Own RevOps data models and BI infrastructure to drive GTM strategy. Clean and analyze datasets, build predictive models, define and track leading/lagging KPIs, deploy dashboards, document data definitions, and deliver executive-ready insights while partnering cross-functionally with Finance and GTM teams.

Support teams in preparing and maintaining AI-ready data by assessing data readiness, improving data quality and metadata, documenting lineage and ownership, and advising on governance and retrieval suitability for AI systems. Collaborate with data engineering, AI, and governance teams to create checklists, guidance, and remediation recommendations without owning pipelines or technical implementations.

Support federal clients by analyzing data, building dashboards and reports in Tableau/Power BI, performing cost and strategic modeling, aiding POM and ICE processes, improving business processes, managing records and compliance, and producing training and program analytics.

Own and build the support reporting layer: ticket volume, SLA, resolution times, CSAT/CES/sentiment, and capacity. Produce dashboards and analyses for leadership and engineering, maintain data quality and governance, prioritize issues using multi-signal models, and surface Voice of Customer trends to close the loop with Product and GTM.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Lead requirements gathering, document functional specifications, review data models, validate implementations, support production deployments, investigate data quality and collaborate with technology teams to ensure data completeness and lineage.

Collect, consolidate, and validate data from disparate sources; document functional specifications; review data models; gather business requirements; support deployments; investigate data quality and bridge gaps with technology teams.