Top Analytics Jobs in Boise, ID

The IT Manager of Data & Analytics is responsible for leading data governance, implementing DevOps practices, and overseeing emerging technologies adoption while managing a team to enhance data capabilities and ensure compliance and operational efficiency.

The Lead Data Migration Specialist optimizes client data onboarding by utilizing Excel and SQL, collaborating with development teams to improve efficiency and resolve issues in data migration, while applying accounting knowledge and project management skills.

The Regulatory Reporting Analyst ensures accuracy in insurance regulatory reporting, assists internal/external parties, manages controls, and improves data systems.

The Technical Data Analyst maintains and analyzes investment data, builds data systems, ensures data quality, and collaborates with clients and teams. Duties include data analysis, visualization, and continuous improvement in data management.

The Lead Data Migration Specialist enhances system automation and accuracy, handling data collection, analysis, and onboarding. They resolve discrepancies, implement optimizations, and collaborate with development teams, ensuring efficient data management and continuous service improvement.

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

Lead CX analytics strategy and operations by standardizing metrics, enabling self-service analytics, and embedding AI in the analytics lifecycle to enhance decision-making processes.

The Lead Data Migration Specialist will enhance data processes for client onboarding using Excel, SQL, and AI, ensuring accuracy and efficiency.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

The Principal Product Analytics Engineer leads the design and architecture of Toast's product analytics ecosystem, ensuring reliable and scalable data for analysis across various platforms. This role involves creating data frameworks, implementing quality controls, and collaborating with cross-functional teams to support data-driven product development and AI insights.

As a Senior Analytics Engineer, you will design data models and pipelines, ensuring data integrity for reporting and analysis. Collaborate with cross-functional teams to enhance data architecture and support analytics goals using modern tools and practices.

The Lead Business Intelligence Analyst will modernize reporting frameworks using Adobe Analytics and Power BI, translating complex marketing data into insights and driving strategic decision-making through effective communication with stakeholders.

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.

The Director of Data & Analytics will lead the analytics function, align data strategy with growth objectives, ensure data quality, and develop talent in the data team.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

The Director, Product Analytics & Strategy will lead market expansion, define product strategy, analyze market opportunities, and drive cross-functional collaboration to shape product direction and company growth.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

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

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

The Head of Value Attainment will lead the creation of a value measurement system, manage analytics and commercial frameworks, and support healthcare partnerships to demonstrate Ambience's clinical and financial impact.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

The Director of Data & AI Alliances will develop strategic partnerships, drive joint go-to-market strategies, manage partner relationships, and lead initiatives that enhance revenue growth and partner engagement in data and AI ecosystems.