Kaizen Analytix

HQ
Atlanta, Georgia, USA
59 Total Employees
Year Founded: 2015

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Jobs at Kaizen Analytix

Search the 5 jobs at Kaizen Analytix

7 Days Ago
Atlanta, GA, USA
Remote
Analytics • Consulting
As a UI/UX Designer, you will create user-friendly and functional digital interfaces, conduct user research, develop wireframes and prototypes, collaborate with cross-functional teams, and ensure usability of designs. You will also contribute to design systems and advocate for user-centered design.
7 Days Ago
United States
Remote
Analytics • Consulting
As a Data Scientist, you will analyze complex data sets, develop predictive models using machine learning techniques, and deliver actionable insights for business decisions. Responsibilities include data analysis, model development, data preprocessing, and creating visualizations to communicate findings effectively. Collaboration with cross-functional teams and staying updated with advancements in data science are also key aspects of this role.
16 Days Ago
Chicago, IL, USA
Remote
Analytics • Consulting
The Development Tech Lead drives modernization projects and systems implementations while acting as a liaison between technical and business teams. Responsibilities include facilitating Agile practices, mentoring the development team, managing project progress, adhering to coding standards, and providing technical guidance.
16 Days Ago
Chicago, IL, USA
Remote
Analytics • Consulting
The Manager of Development leads a team responsible for designing, developing, and maintaining data and software solutions. They provide technical guidance, ensure delivery of solutions on time, foster cross-functional communication, and promote continuous improvement. The role includes guiding the transition to DevOps practices and managing projects while addressing risks and informing senior management about progress.
18 Days Ago
United States
Remote
Analytics • Consulting
As a Data Engineer, you will design and support data architecture, perform data mapping, manage data access requests, and ensure data security in a warehouse environment while developing pipelines and optimizing data processes.