Top Remote Analytics Jobs in Spokane, WA

The Senior Analytics Engineer II will transform data for self-service analytics, ensuring quality and reliability in data models, while mentoring junior team members and collaborating with stakeholders.

As a Growth Analytics intern, you will assist in data analysis, support strategic projects, and collaborate with teams to drive insights and recommendations.

The Data Engineering and Analytics Intern will execute business analyses, build data infrastructure, and collaborate with teams to enhance data accessibility, providing insights for better decision-making in healthcare.

Lead marketing attribution strategy, forecasting, and analytics to influence decisions and revenue growth while collaborating with cross-functional teams.

The Analytics Data Modeler Lead transforms raw data into insights, developing robust data models, integrating data, and ensuring data quality for informed decision-making.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

The Senior Analyst role focuses on developing data models, dashboards, and reports while utilizing business intelligence tools to enhance operational efficiency and business performance analysis.

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 and optimizing Power BI solutions, managing data models, conducting customer discovery meetings, and guiding clients on deployment using Microsoft Azure services. Requires strong technical and interpersonal skills.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

Oversee customer reporting and analytics at Omada Health by leading a team, developing strategies, and collaborating across functions to deliver insights.

As a Senior Data Analyst in Marketing, you will analyze marketing data, track performance trends, develop models, and communicate recommendations to support strategic decisions.

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 Actuary analyzes financial data to forecast performance, ensures data integrity, advises on strategies, and supports business intelligence needs.

Manage and mentor a team of analysts and data scientists, develop analytics strategies, own analytics projects, and promote data-driven culture.

The Client Analytics Manager will manage client relationships, oversee data integration processes, coordinate between teams, and deliver analytics reports.

The People Analytics Partner collaborates with HR and business leaders to provide data-driven insights and recommendations for talent decisions and survey strategies.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

The Actuary analyzes and forecasts data to provide insights for strategic decisions, ensuring data integrity and advising executives on functional strategies.

Lead AI and data initiatives to enhance marketing capabilities and drive growth. Collaborate across teams to optimize data usage for better performance and decision-making.

The Data Analytics Associate will analyze healthcare data, manage research projects, and support customer engagements using analytics tools to drive insights.

As an Analytics Engineer, you will enhance the data stack, create self-serve analytics, integrate sources into BigQuery, and develop dashboards with strategic insights.

The Staff, Advanced Analytics role involves driving data-driven decisions through analysis, statistical modeling, and metrics development to improve the customer journey at Airbnb.

Design and implement data solutions using Databricks and Python, develop data models and pipelines, and support Audit Analytics for a Federal customer.

Lead the analytics strategy and execution, manage a high-performing team, and drive insights for decision-making across the company.