Top Remote Data & Analytics Jobs

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

As a Staff Analyst, you'll conduct quantitative analysis, administer A/B tests, build data pipelines, and mentor junior analysts while collaborating with Product and Engineering teams.

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.

Manage and validate financial models, ensuring accuracy and compliance. Collaborate across teams to improve model performance and frameworks.

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.

The IT Auditor manages and conducts internal and external audits, assesses security risks, identifies control gaps, and provides audit training. Requires collaboration with compliance teams and effective communication of audit results to management.

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.