Top Remote Data Analyst Jobs

Designs repeatable digital analytics and automated business-process solutions for F-35 finance and business operations. Integrates complex data, builds data models and pipelines, develops analytical and forecasting models, maps processes, automates workflows, establishes controls, and delivers reusable analytics products. Supports FP&A, program finance, estimating and pricing, business management, and contracts administration while translating technical findings into business recommendations.

Conduct STEM education research evaluating student learning and AI tools, analyze data to improve educational content and platform effectiveness, publish findings, collaborate with instructors and technical teams, develop research prototypes, and maintain research documentation and reports.

Develop and maintain Tableau dashboards and analytics solutions; clean and transform data using Databricks, SQL, and Python; identify automation opportunities; partner with stakeholders to translate business needs into scalable AI/analytics use cases; support client services and business development for federal clients.

Maintains and enhances product configurators using product and pricing data. Responsibilities include launching and discontinuing products, updating distributor offerings and pricing, testing system releases, protecting data integrity, identifying cross-system risks, documenting standards, supporting AI-assisted validation, leading configuration initiatives, improving processes, and coaching team members.

Analyze internal and external data to support clinical trial design, placement, and execution. Build integrated datasets, visualizations, queries, taxonomies, and recommendations using clinical and real-world data. Partner cross-functionally to improve data quality, standardize trial design practices, automate analytical capabilities, evaluate real-world data assets, and manage related vendor relationships and contracts.

Analyzes hospital billing coding, revenue cycle, operational, and financial data to support leadership decisions. Develops dashboards, KPIs, reports, and visualizations; identifies trends and improvement opportunities; supports Epic and computer-assisted coding technology, workflow optimization, user acceptance testing, upgrades, troubleshooting, and continuous improvement initiatives.

Leads fraud analytics strategy for digital payments, defining risk frameworks, fraud metrics, and analytical models. Partners with Product, Engineering, and Risk Operations to turn insights into scalable fraud mitigation solutions. Manages external data sources, defines requirements for production data pipelines, and establishes best practices for risk measurement and modeling. Serves as a senior thought leader influencing cross-functional stakeholders and executive decision-makers.

The HR Data Analyst develops and maintains workforce dashboards, KPIs, reports, and automated analytics solutions. They analyze employee lifecycle, engagement, retention, talent, learning, rewards, and HR operations data to identify trends and provide recommendations. The role partners with HR and business leaders, presents insights, ensures data quality and compliance, and improves reporting processes through governance, validation, automation, and data modeling.

Leads compensation analysis, market pricing, pay governance, annual compensation cycles, compliance audits, and data integrity between PayFactors and Workday. Provides executive-ready insights, develops compensation recommendations, manages cross-functional projects, maintains SOPs, supports survey submissions, and improves reporting and compensation processes. Partners with HR, Legal, and stakeholders to ensure competitive, equitable, compliant, and scalable compensation programs.

Build Python and SQL data pipelines, maintain data integrity, automate dashboards and reporting, and deliver actionable analytics. Develop AI- and LLM-assisted workflows for data enrichment, classification, summarization, and process automation. Support leadership decision-making, sales, customer success, and internal efficiency while communicating insights to nontechnical stakeholders. Evaluate, document, and monitor AI solutions for accuracy, cost, risk, and auditability.

Collects, validates, and analyzes operational data; develops dashboards, reports, workflow applications, and automated processes using Power BI, Tableau, and Microsoft Power Platform. Translates stakeholder needs into analytical solutions, identifies trends and data-quality issues, troubleshoots and documents deliverables, and communicates insights to technical and non-technical audiences in a consulting environment.

Analyzes marketing data to guide investment decisions, improve campaign performance, segment customers, support A/B testing, and identify conversion opportunities. Builds dashboards and reports, maintains metric definitions and data quality standards, investigates anomalies, and communicates actionable insights to sales, marketing, and global operations partners.

Analyze case, client, and financial data to build Power BI dashboards, executive and client reporting, recurring Excel deliverables, SQL analyses, and lightweight automations. The role investigates discrepancies, supports ad hoc business questions, documents metric definitions, and partners with operations, sales, finance, and leadership to improve reporting and reduce manual work.

Manage IT projects in lead management and marketing automation, coordinating business, IT, development, testing, deployment, and release teams. Gather requirements, create functional designs and workflows, assess solution options, mitigate risks, track delivery, and communicate project status. Partner with Marketing, Sales, architects, vendors, and geographically dispersed teams to improve customer engagement and demand-to-opportunity processes using automation, AI/ML, and Agile practices.

Owns the CX Operations data foundation in Snowflake by designing architecture, governance, data quality standards, and reusable dbt models. Leads complex analyses, dashboards, scenario planning, and executive communication while mentoring analysts and partnering with engineering and strategy teams. Supports AI enablement by creating trusted data models, evaluation standards, and agent performance tracking.

Supports a defense aviation modernization program by integrating and analyzing complex program data across cost, schedule, risk, logistics, testing, configuration management, and cybersecurity. Develops dashboards and executive reports, performs KPI and performance analysis, supports program reviews and aircraft integration efforts, tracks test results and corrective actions, and automates reporting processes. Requires extensive DoD or aerospace experience, aircraft modernization expertise, and an active Secret clearance.

Analyzes operational, engineering, logistics, reliability, maintenance, training, supply chain, and program data for a NATO SATCOM support program. Develops executive dashboards, KPIs, scorecards, predictive reports, trend analyses, and risk assessments. Maintains product support databases, validates data integrity, supports reliability and sustainment analyses, and reports on readiness, quality, cost, schedule, and lifecycle performance. Presents actionable recommendations to technical and executive stakeholders.

Analyze loyalty and retention mechanics to measure booking impact, costs, and optimization opportunities. Segment partners, design and interpret experiments, build financial and scenario models, and translate findings into actionable rules for Retention, Commercial, and Finance teams. The role also involves improving analytics workflows through automation, reusable queries, templates, and agentic coding tools.

Build and automate executive dashboards, revenue models, forecasts, financial data pipelines, and visualization tools. Maintain budgeting, variance analysis, cash flow models, audit-ready records, and database metadata. Analyze large financial datasets, verify contract billing and payment information, monitor compliance, and translate findings into strategic recommendations for finance and executive stakeholders. Collaborate with accounting, contracts, and cross-functional teams to improve reporting workflows and support business growth.

Loads, queries, validates, and analyzes data; refreshes databases; prepares client reports; identifies automation opportunities; supports UAT, system implementations, and quality assurance; and collaborates with cross-functional teams. The role requires database management, SQL, Oracle, Unix, Python, Power BI, data modeling, and relational database expertise, with opportunities to use scheduling and master data management tools.

Collects, cleans, validates, and analyzes data to identify trends and issues. Prepares reports, dashboards, and visualizations, communicates findings, recommends actions, maintains documentation, and follows data-quality and security procedures while collaborating with stakeholders.

Develops interactive Tableau dashboards, analyzes and validates operational data, builds and automates data pipelines, maintains data integrity, conducts investigations, and presents insights to leadership. The role collaborates with IT and business stakeholders, documents processes, administers access controls, supports ad hoc reporting, and identifies opportunities to improve aerospace production and supply-chain decision-making.

Collect, process, and analyze large datasets using statistical methods to answer business questions. Develop dashboards, narratives, KPIs, and actionable insights; maintain data processes and analytics capabilities; ensure data quality; resolve data issues; and translate business problems into functional and technical requirements. Coordinate key tasks and resources to meet cost and schedule objectives while collaborating across departments.

Leads complex analytics initiatives for the Consumer Deposits portfolio, owning Net Present Value methodology and models. Translates ambiguous business questions into scalable datasets, analytical products, and actionable insights supporting pricing, marketing, product, customer, and strategic decisions. Partners with senior stakeholders and cross-functional teams, manages projects independently, improves analytical methodologies and governance, and mentors analysts.

Analyzes ESHS and sustainability data, maintaining analytics pipelines and developing dashboards, KPI reports, predictive models, and data-governance standards. Uses statistics, machine learning, and AI to evaluate program performance and identify corrective actions. Partners with subject matter experts, AI teams, and cross-functional stakeholders to translate business needs into data-driven solutions, communicate executive insights, and support enterprise analytics strategy and adoption.