Top Remote Data Analyst Jobs

Analyze and consolidate disparate data sources, document functional and business specifications, review data models, validate implementations, support production deployment, and investigate data quality and lineage issues.

Analyze, integrate, clean, and model operational and technical data to produce dashboards, reports, and forecasts. Identify trends, lifecycle/status, risks, and noncompliant assets; support automation, data quality improvements, and decision-making across engineering and operations teams.

Analyze C&DS project data to produce reports, visualizations, and predictive/prescriptive models. Build data pipelines and models, mine complex datasets, support data governance, collaborate with IT and stakeholders, respond to ad-hoc requests, and improve business processes using BI tools and statistical methods.

Remote IT Data Analyst who collects, analyzes, and interprets data to identify trends, design dashboards and KPIs, present data-driven recommendations, coach stakeholders, ensure data quality, and partner with IT to maintain reliable data systems.

Analyze and preprocess Army operational datasets, perform geospatial and exploratory analysis, develop dashboards and reports, apply machine learning and statistical models, and communicate insights to Army leadership.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Own and govern supply chain master data (items, BOMs, vendors, costs, units, MRP settings). Define standards, run audits, support ERP/ planning system configuration and enhancements, train users, and support cross-functional teams on data setup and lifecycle changes.

Lead product analytics: build and maintain dbt models and Looker dashboards, define KPIs, analyze funnel and user journeys, design and evaluate A/B tests, size roadmap impact, and deliver partner and ad-hoc insights to inform product and executive decisions.

Design and implement BI solutions: build data models, automations, ETL/ELT workflows, dashboards, and ad-hoc analyses. Monitor and analyze RF/video performance using Dataminer/Qligent or similar tools. Collaborate with cross-functional teams, document requirements, and deliver actionable insights to optimize hybrid terrestrial and satellite video delivery.

Maintain and produce weekly/monthly project and labor reports, track costs and change management, perform data audits, develop forecasts, KPIs and mitigation plans, and support project controls deliverables and progress tracking onsite.

Analyze and integrate project data to build predictive cost, schedule, and resource models. Connect and consolidate data sources, create indicators and tools for project status, risk, and trend reporting, and support administrative tasks to enable project analytics and user data extraction.

The role involves building and scaling a Closed-Loop Design Program that enhances pre-sales engineering through data science and analytics in supply chain automation.

Deliver and support inbound/outbound EDI (ANSI X12-834) and claims/eligibility file implementations, perform mapping, testing, monitoring, troubleshooting, and documentation, and coordinate with internal and external stakeholders to resolve data issues and maintain data quality.

Provide financial and data analysis for Account Management by translating pharmacy claims and rebate data into strategic insights, ensuring report integrity, supporting client meetings/QBRs, and improving reporting tools to mitigate spend and attrition.

Analyze IVR caller behavior using SQL and Excel, build Tableau reports to visualize trends, collaborate with stakeholders to improve IVR user flows, and provide data-driven recommendations to enhance caller experience.

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.

Monitor and optimize programmatic advertising campaigns using real-time and historical data. Diagnose performance issues, design and evaluate A/B and multivariate tests, collaborate with AdOps, Product, and Data Science to operationalize ML-driven optimization, and help evolve manual campaign management into automated decisioning systems to improve revenue and campaign performance.

Deliver and support inbound/outbound EDI (ANSI X12-834) and claims file implementations, perform EDI mapping and testing, monitor file processing, troubleshoot data discrepancies, coordinate cross-functional stakeholders, and maintain data integration documentation and quality controls.

Perform quantitative epidemiological, clinical, and behavioral data management and analysis using SAS (and R/SPSS). Produce surveillance reports, create/validate SAS programs, document variables and errors, merge and quality-check datasets, and prepare presentation graphics and stakeholder reports.

Design, deploy, and maintain scalable data pipelines and analytics solutions. Ensure data quality via governance and monitoring. Optimize APIM for data interaction and produce dashboards and visual reports for portfolio and divisions.

The Data Analyst will deliver automated reporting, analyze complex data sets, support client output formats, and enhance data governance processes.

Support D2C and B2B growth by building automated dashboards, performing funnel and conversion analyses, tracking lifecycle marketing and ad performance, and partnering with cross-functional teams to scale growth initiatives. Learn from mentors and progress into owning growth and marketing analytics domains.

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.

Analyze digital marketing campaigns and leverage data to inform business decisions, drive optimizations, and improve performance metrics.

Collect and analyze data to assess change management and training effectiveness; implement audits; create assessment and trend reports; develop surveys and trainings; lead interviews and focus groups; track corrective actions and timelines; collaborate across departments to recommend and support performance improvements.