Search the 7 jobs at Kaizen Analytix

As a Data Engineer, work independently to collect requirements, perform data mapping to warehouse, prototype, and transform data files into structured data for production. Responsible for data governance, security, disaster recovery, data modeling, and cost optimization in a data warehouse setup.

Lead client finance engagements by structuring business problems, conducting data analysis, and presenting findings. Collaborate with clients and team members, evaluate financial statements, analyze cost outcomes, and provide financial variances explanations. Coach operations leaders on financial decision making and ensure requirements are met.

As an Engagement Lead, responsible for leading client engagements, managing project teams, ensuring project delivery, and building client relationships. Requires 4+ years of project management and consulting experience with a technical focus. Proficiency in Microsoft Office and Project Management tools.

As a Dashboard Developer, you will work independently, gather requirements from business users, perform data mapping, prototype dashboards, and collaborate with technical teams. Strong background in SQL, ETL processes, data modeling, and cloud platforms required.

Contractor role for a UI/UX Engineer at Kaizen Analytix LLC. Responsibilities include translating business problems into UI requirements, prototyping designs, data-driven storytelling, and guiding clients through workshops. Requirements include 1-year UX design experience, strong UI design knowledge, and proficiency in design tools like Adobe XD, Sketch, Figma, and Invision.

The FP&A Analyst at Kaizen Analytix LLC is responsible for structuring ambiguous business problems, data analysis, project management, financial planning, variance analysis, and presenting analytical findings. The ideal candidate should have strong communication, project management, analytical, and presentation skills.

Seeking a talented Data Science Engineer to support existing data science use cases and optimization processes. Responsibilities include understanding data science techniques, designing scripts for data extraction, automating processes, and working on data analysis assignments.