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Top Analytics Jobs in Boise, ID

3 Days Ago
US
Remote
2,862 Employees
98K-133K Annually
Mid level
2,862 Employees
98K-133K Annually
Mid level
Biotech
The Senior HRIS Analyst will manage Workday administration tasks, support configuration, develop system documentation, analyze data, and collaborate with HR and IT teams to improve processes and efficiency. The role requires a focus on optimization, data management, and testing while serving as a subject matter expert for Workday functionality.
3 Days Ago
United States
Remote
323 Employees
Senior level
323 Employees
Senior level
Cloud • Database
The Senior Consultant will design, build, and test custom data warehouse and business intelligence solutions using Oracle NetSuite Analytics Warehouse. Responsibilities include developing data integration solutions, implementing best practices, and leading product implementation and training for clients.
3 Days Ago
3 Locations
Remote
835 Employees
Expert/Leader
835 Employees
Expert/Leader
Fintech • Financial Services
The Director of Data Engineering at Shift4 will lead the data architecture, manage a team of data engineers, and oversee the development of scalable data pipelines and governance processes while collaborating with various teams to support analytics and reporting needs.
3 Days Ago
USA
Remote
89 Employees
197K-295K Annually
Senior level
89 Employees
197K-295K Annually
Senior level
Artificial Intelligence • Insurance
As the Director of Data at Loop, you will lead a team to develop and scale innovative data products, ensuring collaboration across teams to make data-driven decisions. You will set the vision for data strategy, communicate priorities across the organization, and oversee the adoption of data tools while contributing to product strategy and driving impactful insights for merchants.
3 Days Ago
29 Locations
Remote
133 Employees
60K-100K Annually
Mid level
133 Employees
60K-100K Annually
Mid level
Artificial Intelligence • Blockchain
As a KYC Investigations Analyst, you will manage CertiK's KYC badge product, conduct interviews to assess risks, perform investigations using OSINT, and provide customer service during the KYC process. You will document findings and evaluate project teams for quality and risks.
3 Days Ago
United States
Remote
916 Employees
Senior level
916 Employees
Senior level
Consulting • Financial Services
As a Senior Manager in Data and Analytics, you will lead projects to implement data strategies, build automation tools, and develop visualizations for clients. Responsibilities include project management, communicating business needs, and collaborating with stakeholders to drive data-driven transformations.
3 Days Ago
United States
Remote
199 Employees
Senior level
199 Employees
Senior level
Healthtech
As a Lead Data Analyst at Mindoula, you will guide a team in creating impactful data visualizations and analyses, lead business intelligence capabilities, ensure data accuracy, and build strong collaborations across departments to support healthcare delivery improvements.
3 Days Ago
29 Locations
Remote
215 Employees
Mid level
215 Employees
Mid level
Big Data • Software
The Research Scientist at Virdx will focus on developing MRI protocols and a diffusion simulation engine, utilizing machine learning and statistical inference for cancer detection. Responsibilities include optimizing imaging techniques and contributing to the advancement of non-invasive diagnostic methods.
3 Days Ago
USA
Remote
837 Employees
Entry level
837 Employees
Entry level
Information Technology
The AI Strategist will partner with sales and delivery teams to identify business value from generative AI initiatives, lead discussions with potential clients, assess AI project viability, and ensure alignment with strategic outcomes. The role requires strong business acumen, effective communication, and collaboration skills to facilitate successful AI solutions tailored to client needs.
3 Days Ago
United States
Remote
190 Employees
Senior level
190 Employees
Senior level
Sales • Software
As a Senior Analytics Engineer, you will implement scalable analytics infrastructure and convert raw data into standardized assets to drive business decision-making. Responsibilities include designing data models, defining engineering standards, collaborating across functions, and influencing analytics strategies for scalability.
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