Top Remote Data & Analytics Jobs in Seattle, WA

Lead analytics to optimize the auto quoting and policy lifecycle experience, focusing on new-business growth and retention. Analyze quote flows, prefill data, risk classification, midterm/renewal logic, and competitive intelligence. Partner with Distribution, Data Science, Risk, Underwriting, Technology and Service teams to design, test, and implement experience improvements and provide actionable recommendations to increase engagement, reduce friction, and improve persistency and lifetime value.

Design, build, and maintain scalable ETL pipelines and data models to support pricing and analytics. Perform complex data profiling and analysis, enforce data quality and governance, collaborate with data scientists and stakeholders, mentor junior engineers, and support product launches using Python, SQL, Snowflake, and cloud tooling.

Individual contributor focused on building and scaling continuous monitoring and anomaly-detection for Personal Lines Auto pricing. Responsibilities include querying and analyzing large datasets, building dashboards and automation, improving data quality and early issue detection, performing program-level monitoring of pricing launches, and partnering cross-functionally to identify and resolve emerging risks and data issues.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

The Data Scientist in Finance will analyze financial data, create dashboards, collaborate on data engineering, and find improvements for the business.

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

This role focuses on post-sale technical execution, ensuring customer onboarding and deployment, driving customer consumption of products, writing production code, diagnosing issues, and expanding adoption across teams.

Lead design and governance of enterprise-scale data architecture (warehouses, lakehouses, streaming). Define standards for data quality, lineage, observability, and AI-enabled workflows. Mentor engineers, serve as technical escalation, and translate business needs into long-term data architecture and governance strategies.

The Data Strategy & Sourcing Analyst transforms product data into a strategic asset, ensuring data integrity and driving cost savings through sourcing. Responsibilities include establishing a Single Source of Truth, conducting data analysis, and collaborating with teams for financial impact. The role requires strong analytical skills, proficiency in SQL, and experience with data management tools.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

The Staff Analyst will design analytical frameworks, lead business case development, and provide insights across departments while mastering insurance analytics.