Top Remote Data Analysis Jobs

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

The Actuarial Associate manages risk assessment tools, supports audits, prepares statistical models, and maintains the actuarial data warehouse while assisting the finance department.

The Pricing Data Scientist manages end-to-end pricing analytics, builds predictive models, and provides actionable insights to inform pricing strategies. Responsibilities include analytics on pricing tests, competitive analysis, and collaboration with cross-functional teams.

Seeking a Statistical Programmer II/III to develop and maintain statistical programs primarily using R and SAS for clinical trial data analysis, collaborating with clinical teams to ensure compliance and support submissions.

The Data Analyst will optimize marketing funnel metrics, conduct analyses, manage dashboards, and promote data-driven decision-making within the team.

Seeking a temporary Senior Data Analyst for a data cleanup project focused on reviewing and correcting Salesforce account and billing information to ensure data accuracy.

Lead statistical strategy and oversight for multiple clinical studies across all phases. Design studies, author protocols and SAPs, oversee interim/final analyses, ensure reproducible outputs with programming teams/CROs, support regulatory submissions and inspections, manage external vendors, mentor junior statisticians, and contribute to publications and presentations.

As a Senior Staff Decision Scientist, you will optimize payment decisioning strategies, analyze risk data, and collaborate to improve platform performance and user experience.

The Pricing Analyst III develops pricing models and performs analysis in mortgage insurance pricing, presenting findings to senior leadership.

Join Nextdoor's machine learning team to build data-intensive products, develop ML models, analyze datasets, and enhance user experiences. Collaborate closely with product and data science teams.