Top Senior Level Analytics Jobs in Boise, ID

The Senior Executive Compensation Analyst will manage equity compensation administration, prepare meeting materials, conduct analyses, ensure compliance with compensation regulations, and support the development of proxy materials. This role requires collaboration with Legal, Finance, and Tax departments and involves managing third-party vendor relationships.

The Senior Analytics Engineer will translate business needs into technical specifications, build analytics solutions, and develop complex data transformations within the Arine data lake while collaborating with various teams. The role requires creating data models and visualizations to present data in action-oriented formats.

The Senior AI Researcher will architect, design, and implement state-of-the-art generative AI models for ASR or TTS applications. Responsibilities include training and optimizing LLMs, collaborating with cross-functional teams, and staying updated on advancements in generative AI. A strong focus on problem-solving and collaboration in a fast-paced environment is essential.

The Financial Systems and Data Analytics Lead will design, implement, and maintain systems for financial data analytics and process automation, collaborating with cross-functional teams to automate accounting entries, support month-end close, and create financial reports, while also engaging in data management and ad-hoc analytics projects.

As a Data Scientist Manager, you will lead projects transforming clients through data, develop data science products, mentor junior team members, and write optimized code while enhancing client relationships and promoting team happiness.

The Senior HRIS Analyst will manage Workday administration, enhance process efficiencies, and support stakeholders as a Workday SME. Responsibilities include maintaining HR data, developing documentation, testing processes, and collaborating with HR and IT teams to optimize system functionality and user experience.

The Senior Consultant will design, build, and test custom data warehouse and BI solutions for clients, translate business requirements into technical specifications, and develop data integration solutions. They will also lead product implementation and conduct training and workshops.