Top Senior Data & Analytics Jobs in Boise, ID

The Staff Risk Analytics role involves overseeing fraud risk management, developing strategies, leading cross-functional initiatives, and providing real-time analytics in fintech.

The Data Architect will design and implement a robust data warehouse and reporting platform on Azure, ensuring data quality and governance while modernizing the existing systems.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

Lead a team of data analysts to improve product performance insights, establish experimentation practices, and enable self-service insights for the company.

The Clinical Data Manager will manage research databases, oversee EHR to EDC automation, ensure data quality, and perform statistical analyses.

The Associate Director, Commerce Data leads data organization and usage to measure success and enhance business growth, collaborating across teams and ensuring data accuracy and reliability in reporting and forecasting.

As a Senior Product Analyst, you will conduct complex quantitative analysis for property & casualty products, manage projects, develop analytical strategies, and communicate findings with stakeholders to enhance product performance.

The Senior Data Engineer will focus on Data Modeling, utilizing SQL, Snowflake, and Apache Airflow to develop efficient data models and deliver data products.

Lead design and delivery of enterprise data centralization and automation for reporting and BI. Build and maintain ETL/SSIS pipelines, data orchestration, file delivery and quality controls, follow SDLC/agile, mentor junior engineers, and partner with business stakeholders to capture requirements and ensure timely data delivery.

Design, implement, and optimize AWS-based data infrastructure and automated ETL/ELT pipelines using Airflow, DMS, Glue, Redshift, and Athena. Build Terraform modules and CI/CD for data workflows, enforce security/IAM, implement observability, optimize performance/cost, and mentor junior engineers.