Top Remote Analytics Jobs in Seattle, WA

As a Credit Analytics Analyst, you will drive insights into credit performance, develop forecasting models, and collaborate with cross-functional teams to enhance Upstart's lending strategies.

Analyze transaction data to define risk strategies for Embedded Finance, develop analytical models, mentor analysts, and present insights to leadership.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

Design and optimize fraud detection rules, managing libraries and workflows, collaborating with teams for analytics, and providing strategic insights.

As a Manager of Risk Analytics, lead a team focusing on account security, implement risk strategies, analyze data with SQL, and collaborate to enhance security measures.

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

The Analyst II focuses on enhancing Revenue Cycle operations through data analysis, process optimization, and change management while collaborating with various stakeholders to ensure effective project delivery.

The Analyst, Rebate Analytics analyzes pharmacy claims data to identify trends and evaluate rebate performance, providing actionable insights for strategic decisions.

The intern will support special projects in data analytics, including administration, research, and development of data-related standards and documentation.

The Senior Quantitative Analytics Associate leverages statistical and mathematical techniques to validate models and provide predictive analysis for business needs, mentoring junior staff and delivering insights based on data analysis.

The role involves developing quantitative modeling solutions to assess risks, collaborating with various departments, and effectively communicating insights through data visualization.

The Quant Analytics Lead Associate develops and validates predictive models using statistics and machine learning techniques, conducts quantitative analyses, and communicates insights to stakeholders.

The role involves performing product usage analyses, designing A/B tests, leveraging AI tools for insights, and working cross-functionally to improve business performance metrics.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

The role involves leading pricing strategy and analysis for auto lending, collaborating with cross-functional teams to enhance pricing models and drive profitability.

The Survey Scientist will design and implement survey programs, model predictive processes, and collaborate with various teams to optimize survey data collection and analysis.

As a Senior Data Analyst, you'll partner with business stakeholders, conduct data analysis, and write complex SQL queries while collaborating in an Agile environment.

The role involves creating testable hypotheses using data, launching A/B tests, and partnering with analysts to improve game metrics. Responsibilities include presenting findings to non-analysts and using benchmarks for actionable insights.

As a Data & Analytics Analyst, you'll develop data infrastructure, perform complex analyses, provide insights, and ensure data quality across systems.

Seeking a Strategic Data Analyst & Global Compensation Consultant to provide insights on HR data, develop compensation strategies, and drive organizational performance through data storytelling.

The Fraud Analytics Intern will analyze data, create fraud features, develop predictive models, and collaborate with data scientists in cloud environments.

Design, deliver, and consult on analytics projects in consumer lending, including modeling, portfolio analysis, and marketing analytics with hands-on coding expertise in Python and Spark.