Top Remote Data Analyst Jobs

Internship data analyst supporting dashboard monitoring, user behavior and content ecosystem analysis, A/B test evaluation, campaign performance analysis, data quality assurance, and metric documentation. The role uses SQL and Excel to derive insights on engagement, retention, conversion, and creator ecosystems, while collaborating with product and operations teams in a blockchain and digital assets environment.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Analyzes complex datasets to uncover business insights, develops dashboards and reports using SQL and visualization tools, and presents recommendations to stakeholders. Partners with engineering, operations, and other teams to solve business problems, prioritize strategy and projects, manage deliverables, and ensure data accuracy and timeliness.

Design and administer enterprise dashboards and reporting solutions (Tableau, Power BI, Microsoft Fabric). Translate complex business questions into compelling data stories, partner with stakeholders and BI engineers, champion visualization standards and governance, mentor analysts, and improve reporting usability and trust across the organization.

Collect, clean, and analyze structured and unstructured data to produce insights and KPIs for Navy supply chain decisions. Prepare data for models, create visualizations and presentations, support clients and stakeholders, and ensure data quality. Work onsite with required Secret clearance.

Analyze product and business data to guide product strategy, growth, customer experience, and experimentation. Responsibilities include funnel, cohort, retention, segmentation, monetization, dashboard, and reporting analysis; defining metrics; maintaining event tracking; troubleshooting data quality; integrating data from analytics, advertising, payment, and CRM systems; and documenting tracking plans and metric definitions.

Owns enterprise data governance activities, including metadata management, data cataloging, data quality rules, lineage, profiling, report certification, PII handling, and governance workflow automation. Partners with data stewards, IT teams, business stakeholders, and senior leaders to improve data integrity, regulatory compliance, reporting quality, and governance processes. The role also supports training, stakeholder workshops, process improvement, and mentoring of less experienced professionals.

Lead paid media analytics for Life Company, using SQL/Python and advanced statistics to measure and optimize paid social/search and AI-powered search. Build audience segmentation, run incrementality/experimentation, create visualizations and recommendations, and partner with marketing to drive acquisition and engagement.

Owns production data systems end to end, including data models, ETL and API integrations, applications, platform maintenance, data quality, governance, and technical debt. Supports OPSDB and exploration operations, improves reliability and alerting, documents systems, collaborates with cross-functional and nontechnical stakeholders, and mentors junior analysts. The role also supports procurement and inventory initiatives, works with geologists, and requires occasional international travel to exploration sites.

Analyze, validate, and transform healthcare payer data for HEDIS, CMS STAR Ratings, quality improvement, and regulatory reporting. Translate requirements into data solutions, source-to-target mappings, business rules, process flows, and functional specifications. Contribute to solution architecture, data modernization, governance, UAT, reconciliation, audits, and defect resolution. Collaborate with quality, population health, care management, technical, and client teams to resolve data issues and improve payer reporting and operational performance.

Partners with clients and internal teams to analyze complex datasets, develop measurement strategies, conduct research and statistical analyses, and deliver actionable insights. Creates reports, dashboards, and recommendations supporting sales, marketing, optimization, and go-to-market decisions. Leads research and measurement activities, tracks market trends and KPIs, communicates findings clearly, and stays engaged with program operations through meetings and field ride-alongs.

Partners with clients and internal teams to develop data-driven strategies, measurement approaches, reports, and actionable insights. Collects, cleanses, transforms, models, and analyzes complex datasets using business intelligence and statistical tools. Leads standardized measurement, research, testing, and optimization initiatives, communicates findings through compelling reports, and supports sales and marketing objectives through market analysis and recommendations.

Analyzes healthcare, financial, and utilization data to identify inefficiencies, support business decisions, build and maintain dashboards, develop analytical models, and communicate actionable insights to technical and non-technical stakeholders.

Analyze healthcare and utilization data to identify inefficiencies, support data-driven decisions, maintain analytical dashboards, develop insight-generating models and tools, and communicate findings to technical and non-technical stakeholders. The role also monitors improvement initiatives, supports strategic projects, and ensures compliance with applicable regulations.

Support client projects by structuring business problems, assessing data, selecting analytical approaches, conducting analyses, building and validating models, and translating findings into recommendations. The role involves quantitative consulting across industries, collaboration with clients and project teams, and potential work in AI, credit risk, sustainability, optimization, GenAI, and supply chain analytics. Business fluency in German and English and willingness to travel are required.

Analyze technology spending, cost drivers, portfolio performance, operational metrics, and technology initiatives. Develop executive dashboards and reporting, synthesize complex data into actionable insights, monitor risks and dependencies, and support governance, planning, and decision-making. Partner with technology, finance, and business stakeholders while contributing cybersecurity knowledge, financial analysis, and technology governance expertise.

Supports client projects by structuring analytical problems, assessing data, selecting analytical methods, conducting analyses, building and validating models, and translating results into recommendations. Work may involve AI, predictive modeling, portfolio decarbonization, credit risk, optimization, chatbots, and supply-chain analytics. The role also includes client collaboration, communicating complex concepts clearly, and contributing to project teams across industries.

Audits and validates labeling annotation data for accuracy, consistency, guideline adherence, and regulatory compliance. Identifies errors and root causes, monitors quality KPIs, leads governance cycles, translates data trends into process improvements, and leads the NC Program. Collaborates with agencies and internal stakeholders across labeling operations.

Supports the Data Intelligence & Advisory team by gathering business requirements, documenting user stories, participating in Agile ceremonies, translating requirements into technical designs, exploring wireframes, supporting testing and troubleshooting, and assisting with tool deployment planning. The intern works under direct supervision while collaborating with product owners, business users, development, testing, vendors, and internal teams.

Analyze complex construction and design project data, develop datasets, pipelines, reports, dashboards, and predictive or prescriptive models. Partner with business, IT, and data governance teams to address reporting needs, improve processes, establish metrics, manage data access, support governance, and generate actionable insights for capital portfolio decisions.

Build governed datasets and applied AI solutions for supply chain automation and pre-sales engineering. Develop forecasting, scenario modeling, optimization, benchmarking, and document intelligence workflows using Databricks, SQL, and Python. Publish reliable data products to Tableau Cloud, manage pursuit artifacts, and establish closed-loop learning by comparing design assumptions with operational outcomes. Partner with engineering, analytics, and solution design teams to improve automation proposals, estimates, and customer outcomes.

Develops and maintains consumer compliance reports, dashboards, risk indicators, and metric analyses. The role validates and governs compliance data, supports monitoring and testing, identifies trends and anomalies, and translates complex datasets into actionable risk-management insights. It collaborates with risk management, audit, technology teams, business lines, and vendors to improve reporting, controls, data integrity, and compliance processes using tools such as Power BI, Tableau, Excel, Python, Java, SQL, and ACL.

Supports portfolio governance, enterprise architecture, technology finance, and IT delivery initiatives. Helps define business problems, develop AI solution frameworks and roadmaps, gather requirements, analyze data, test and deploy tools, document changes, and support Agile delivery. Collaborates with product owners, business users, developers, and testers to improve processes and inform leadership decisions.

Analyzes and validates data from multiple sources in a federal healthcare environment; develops reports, dashboards, ad hoc analyses, recommendations, and decision-support products. Gathers analytical requirements, collaborates with stakeholders and Agile teams, documents work, researches best practices, and supports analytics solution delivery and process improvements.

Lead ANSI X12-834 eligibility EDI implementations, including partner onboarding, file configuration, mapping, testing, monitoring, troubleshooting, and production support. Coordinate internal teams and external vendors, investigate eligibility data discrepancies, manage implementation timelines, document configurations, and improve data quality and operational processes. Serve as a subject matter expert for eligibility data exchange while providing project updates and technical recommendations to leadership and stakeholders.