Top Remote Analytics Jobs in Boise, ID

Lead the Data and Analytics team, overseeing analysis, BI strategies, and platform solutions to drive business growth through actionable insights.

Lead and expand analytics capabilities at Yassir, overseeing a team to deliver insights for strategic decisions and operational excellence.

The role involves developing dashboards, analyzing data for improvements, collaborating with teams for data-driven solutions, and translating data insights for diverse audiences.

The Senior Analyst for People Analytics uncovers insights through data analysis, collaborates with the People Team, and leverages AI for reporting and trend analysis. Responsibilities include dashboard management, data storytelling, and strategic partnership with leadership.

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

The Associate Director/Senior Manager will lead commercial analytics and forecasting efforts, develop insights, establish processes, and manage data strategies within the organization.

The role involves leading analytics initiatives to support community support, driving data-informed decisions, building insights platforms, and using statistical models for product improvement.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

As a Data Engineer at Thatch, you'll develop data infrastructure, build ELT pipelines, and collaborate across teams to provide analytics insights.

The Senior Analytics Engineer will build and maintain data integrations, automate workflows, ensure data accuracy, and support school operations in K-12 education.

The role focuses on improving application quality of experience through data analytics and engineering, collaboration with teams, and effective communication.

As a Senior Analytics Engineer, you'll design metrics, generate insights, and drive analytics initiatives to support Netflix's ads business.

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.

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.

As Director of Data & Analytics, you'll build a modern data stack, manage dashboards and reporting, ensure governance, and lead a data team.

As an Analytics Lead, you will conduct research, collaborate on client strategies, mentor team members, develop insights, and create measurement products to guide decision-making.

The role involves designing and delivering end-to-end data and analytics solutions on Azure for enterprise clients, requiring data engineering experience.

The RevOps Analytics Manager is responsible for data analysis, insights generation, data governance, and supporting sales and marketing strategies through advanced analytics and forecasting.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

The Senior Manager, Marketing Analytics will develop campaign performance metrics, enhance reporting capabilities, and optimize marketing strategies while collaborating with various teams.

Lead a team of analytical engineers to create optimized data solutions, mentor members, and collaborate on data-driven projects using AWS technology.

Lead and grow the analytics team, collaborate with leaders to shape experiments, dive into data using SQL and Python, and present insights to executives.