Top Remote Data Analyst Jobs

The Lead Data Analyst will define KPIs, analyze data trends, build dashboards, and support new product launches, requiring strong SQL and Python skills.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

The Data Analyst will generate client reporting using Python and SQL, maintain reporting scripts, conduct quality checks, and enhance data quality for performance analysis.

The Senior Risk Data Analyst produces risk analytics and regulatory reports, engages with stakeholders, supports risk identification, and ensures alignment with governance standards.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

As a Staff Data Analyst, you will partner with Operations and Product teams to define success metrics, build dashboards, conduct root cause analyses, and deliver data-driven recommendations to improve borrower outcomes.

As a Data Analyst, you'll leverage data insights to improve healthcare, collaborate with teams on data projects, and inform strategy.

The Data Analyst will analyze extensive datasets to identify behavioral patterns, create analytics, and collaborate on data projects with product managers and developers.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

The Principal Data Analyst will manage pricing and profitability strategy for Workhuman's E-commerce store, leveraging data analysis and cross-functional collaboration to drive decision-making and implement improvements in pricing strategies.

Lead AI-assisted analysis of data events, implementing automated data pipelines, and building analytics solutions using Python and PySpark. Collaborate with cross-functional teams to enhance an AI-driven investigative platform.

The Data Analyst will build performance reporting tools, automate data processes, conduct ad-hoc analyses, and provide insights for company initiatives.

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

As a Business Intelligence Analyst, you'll analyze data to improve healthcare outcomes by collaborating with various teams and automating data processes.

The Senior Consultant will lead payment model implementation, client relationships, analytics, and policy analysis, mentoring staff and producing deliverables.

The Senior Data Analyst will lead analytics projects, translate complex data into insights, and support product strategies across various teams, ensuring data-driven decision making.

The Senior Consultant Data Analyst will analyze business requirements, create SQL queries, develop data models, and communicate insights to clients, supporting digital product development and decision-making processes.

The People Data Analyst analyzes people and talent acquisition data to support HR initiatives, designs dashboards, and collaborates cross-functionally.

The Data Analyst designs and delivers business intelligence solutions, translating requirements into technical specifications, and collaborating with stakeholders to ensure accurate reporting and analytics.

The HR Data Analyst will implement SuccessFactors, lead HR data migration, develop reports and dashboards, and enhance data governance processes.

Lead analytical projects, develop quantitative models, analyze datasets for insights, and translate findings into business recommendations, primarily supporting client decision-making.

The Data Analyst will analyze laboratory performance and STEM programs, respond to client data requests, utilize data platforms, ensure data quality, and develop visual data insights to inform policy decisions.