Top Remote Data Analyst Jobs in Austin, TX

The Data Analyst II will lead data warehouse projects, analyze data relationships, create data models, mentor junior analysts, and report risks.

As a Data Analyst II, you will transform data into narratives, support strategic decision-making, and enhance data-driven insights across teams. You will leverage SQL, manage BI ecosystems, and collaborate closely with departments to track KPIs and influence strategies.

As a Financial Data Analyst, you will support data-driven insights, financial reporting, and contract management, developing dashboards and analyzing large datasets.

The Data Analyst supports data conversion for clients, analyzing and transforming data, ensuring integrity and successful onboarding, and collaborating with teams.

As a Data Analyst at Cribl, you will support analytics across teams, perform data analysis and visualization, and ensure data reliability.

The Data Analyst will engage in preparing and understanding data for predictive modeling, collaborate with cross-functional teams, create datasets, and manage data assets with an aim to innovate and drive productivity.

The Data Analyst will support the BSA/AML team by analyzing data, developing dashboards, automating processes, and ensuring regulatory compliance for AML programs.

The Business Intelligence Analyst will design analytics solutions, integrate data, develop insights, and create dashboards to support various business units.

The Data Analyst will manage BI & reporting pipelines, translate business requirements into KPIs, and create reports and dashboards while ensuring data accuracy.

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.

The Educational Data Analyst will engage with school districts to gather data needs, design dashboards, manage data integrations, and support users in interpreting data effectively.

The Marketing Data Analyst will manage campaign data, develop dashboards, provide data-driven recommendations, and conduct market research to support marketing strategies.

The Product Data Analyst will analyze user behavior, measure product performance, and generate actionable insights using SQL and data visualization tools to support product-driven decisions.

The Principal Data Analyst will drive insights for Credit/Risk and Capital Markets, optimizing lending decisions and portfolio strategies using data analysis, dashboard creation, and statistical methods.

Analyze data and create visualizations to drive business decisions, collaborating with team members and stakeholders to provide actionable insights.

The Senior FP&A Data Analyst will manage data integration, drive analytical insights, build dashboards, and support financial strategies across the organization.

The Data Analyst will monitor, analyze payment flows, develop anti-fraud rules, create dashboards, and improve data systems in the Payments domain.

Data Analyst role involves partnering across teams to develop analytical solutions, building dashboards, and managing analytics projects end-to-end, with 7+ years of experience required.

The Senior Claims Data Analyst enhances claims operations through advanced analytics, develops reports and dashboards, identifies process improvements, and ensures data integrity to drive strategic decisions.

The Data Analyst will analyze and transform complex datasets into actionable insights, supporting federal healthcare decision-making and ensuring data quality.

As a Product Data Analyst II, you will partner with product squads to design experiments, analyze data, and provide actionable insights to influence product decisions.

The Financial Data Analyst will provide complex financial analyses, conduct fraud detection analyses, develop data pipelines, and offer training to team members.

The Yield and Data Analyst will lead yield strategy, performance analysis, and operational improvements across media channels. Responsibilities include yield analysis, dashboard development, collaboration with Product and Engineering, and supporting pricing strategy.

The Senior Product Data Scientist will lead product analytics and experimentation to drive user growth, engagement, and revenue by leveraging data insights and A/B testing.

The Data Analyst will manage SaaS implementation, solve client issues, conduct analyses, and train clients on using the Merchant Central platform.