Jobs at Kaizen Analytix

Supports client analytics consulting engagements by structuring business problems, gathering requirements, analyzing data, creating dashboards, developing recommendations, facilitating workshops, and supporting project delivery. Collaborates with business users, technical teams, data scientists, and developers to define solutions, test implementations, manage change, and communicate findings. The role requires strong analytical, presentation, communication, and project management skills, with proficiency in Microsoft Office and familiarity with Tableau, Power BI, and SQL.

Coordinates IT support for business users and vendors, covering SAP, Microsoft 365, infrastructure, networking, and business applications. Manages IT requests from intake through resolution, tracks issues and project timelines, coordinates vendor deliverables, escalates critical problems, provides status updates, and collaborates with Japan-based stakeholders.

Design, develop, customize, test, and implement software applications using JavaScript, TypeScript, Java, SQL, Python, cloud platforms, and modern development tools. Build machine learning data pipelines, integrate AI services, manage cloud infrastructure, maintain CI/CD pipelines, gather requirements, document specifications, support software development lifecycle activities, configure solutions, and train users. Travel to client locations within the United States is required.

Supports enterprise data and analytics initiatives by gathering requirements, writing user stories, managing Jira backlogs, documenting workflows and data mappings, validating data with SQL, and assisting with Power BI reports and DAX measures. Participates in Agile ceremonies, UAT, process improvement, sprint planning, and client stakeholder engagement while helping deliver data-driven solutions across consulting engagements.

Lead client analytics engagements end-to-end: define scope and SOWs, manage cross-functional delivery teams, ensure technical best practices, oversee deliverables and project P/L, communicate with stakeholders, mitigate risks, mentor teams, and identify follow-on business opportunities.

Lead and coordinate multiple client analytics engagements, oversee delivery teams and workstream leaders, and drive complex statistical and optimization modeling (LP, MIP, discrete optimization). Provide thought leadership, develop and supervise proprietary solution libraries, present high-level insights to clients and executives, support sales and business development, and contribute to group leadership and knowledge sharing.