Top Remote Data & Analytics Jobs

As an SEO Analyst, you will analyze data to improve SEO strategies, provide performance reports, and collaborate with teams to enhance user experiences and brand visibility.

Analyze user behavior data to identify friction points, recommend changes for conversion optimization, and collaborate with teams to improve user flows through data-driven insights.

The Business Intelligence Data Analyst will analyze data, build reports, and support Customer Success initiatives using SQL and BI tools.

Lead Engineer for Business Systems focusing on Salesforce, overseeing technical strategies, system enhancements, and cross-team collaboration to optimize workflows and support system governance.

Develop and enhance quantitative finance models for pricing and risk management, analyze financial data, and structure ABS transactions.

The Staff Analyst will drive insights and strategies for Upstart's Personal Loans product, collaborating with multiple teams on data analysis and product optimization.

The Solutions Associate will support Zeta's Data Cloud team by managing client inquiries, enhancing operational processes, and driving product insights to improve client satisfaction and growth.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

The Principal Product Analyst will lead analytics for product teams, building frameworks, dashboards, and fostering a data-driven culture for decision-making.

The Senior Healthcare Analyst will analyze healthcare data, provide insights to improve clinical programs, and collaborate with multidisciplinary teams to drive program effectiveness and optimize patient outcomes.

As a Senior Data Analyst, you will work with business partners to enhance data-driven decision-making on payments, develop dashboards, and analyze strategic opportunities while effectively communicating insights across teams.

The Senior Fraud Data Analyst develops data-driven fraud decisioning strategies, analyzes large datasets, and collaborates with stakeholders to enhance fraud prevention and optimize detection accuracy.