Top Data & Analytics Jobs in Boise, ID

Lead custom analytics and ML model development for non-prime lending using traditional and alternative data. Scope and deliver credit strategies (underwriting, pricing, collections), engineer features, evaluate data sources, present insights to clients, and support model implementation, monitoring, and optimization.

The Director of Analytics leads a team to generate insights using healthcare data, supports product development, and engages with clients, leveraging advanced analytics to inform decision-making.

The role entails developing and executing pricing strategies to enhance revenue for Upwork, alongside conducting extensive market and data analysis to inform pricing decisions.

The Technical Program Manager will operationalize reporting initiatives by designing dashboards, data models, and insights for executive decision-making. Responsibilities include KPI reporting, data ecosystem structuring, and collaboration with stakeholders to ensure accurate data storytelling.

This Senior Actuary role focuses on leading strategic initiatives, conducting financial analysis, developing methodologies, and influencing cross-functional teams to optimize health care programs.

The Technical Business Analyst partners with leaders to design, analyze, and improve processes while translating business needs into functional requirements, facilitating communication between stakeholders and IT throughout the SDLC, and mentoring junior analysts.

The Senior Workday Reporting and Analytics Analyst creates reports and dashboards, ensures data quality, and provides insights to support HR decision-making.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.

Manage insights for CPG clients using POS, consumer, and e-commerce data. Build actionable reports and dashboards, and support client relationships and training.

The Snowflake Data Consultant will lead the modernization of data models from Oracle to Snowflake, focusing on performance and scalability while managing complex migrations and collaborating with teams.