Jobs at Kaizen Analytix

Leads data analysis and semantic modeling for certified data products, builds and rationalizes Power BI dashboards, partners with Finance and business stakeholders on requirements and UAT, and drives report consolidation. The role requires expertise in Power BI semantic modeling, DAX, gateway administration, advanced SQL, Athena, Redshift Spectrum, dimensional and star-schema analytics, and rebate, sales-to-GMR, and inventory domains.

Analyze structured and unstructured data, build and enhance statistical and machine learning models in Python, integrate data sources, identify customer trends and insights, support pricing and elasticity analysis, and present complex analytical findings to business leaders and upper management.

Lead SAP S/4HANA solution architecture and Fit/Gap workshops, define implementation scope, manage stakeholder engagement, guide RFP/scoping, and bridge customers with offshore SAP engineering teams across core modules and integrations.

Lead S/4HANA implementation scoping and Fit/Gap workshops, define solution architecture, manage executive stakeholders, bridge clients with offshore SAP engineering, and support RFP preparation across core SAP modules and integrated business processes. Bilingual Japanese-English required.

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 consultative sales to sell team-based consulting engagements across digital transformation, SAP, modernization, application development, cybersecurity, data analytics, and AI. Build C-level relationships, shape demand, manage full sales lifecycle, develop proposals, negotiate deals, forecast pipeline, and drive account expansion while partnering with delivery and leadership to ensure smooth transition to execution.

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.