Top Tech Jobs & Startup Jobs

Lead business analysis for procurement-focused BI projects. Gather stakeholder requirements, document business processes, create functional specifications and data mappings, and define Power BI dashboards, data models, calculations, and visualizations. Support project planning, scope and milestone tracking, RAID and decision logs, governance communications, UAT, deployment, training, and hypercare. The role requires strong Power BI, data modeling, DAX, Azure, ETL/ELT, procurement analytics, and cross-functional stakeholder management experience.

Designs, builds, deploys, and optimizes cloud-based data pipelines on GCP. Integrates data from databases, APIs, and streaming platforms using ETL and ELT processes; manages BigQuery and NoSQL databases; performs data modeling and query optimization; and uses Airflow and modern transformation tools. Collaborates with data scientists, analysts, clients, and business stakeholders in distributed multinational teams.

Lead supply chain consulting engagements across presales, discovery, requirements analysis, solution design, and delivery. Bridge business stakeholders and technical teams to define functional requirements, perform fit-gap and process analysis, design data/AI-enabled supply chain solutions, support UAT, and drive stakeholder alignment and presales materials for transformation programs.

Develop and maintain scalable AWS data pipelines, modify Lambda functions and SQL processing jobs, design Iceberg-based data models, optimize Athena and Spark workloads, and implement data quality, observability, testing, governance, and documentation practices. The role also requires collaboration with engineering, product, and data stakeholders, along with GitLab-based version control and CI/CD or Infrastructure as Code familiarity.

Design, develop, and maintain Python backend services, RESTful APIs, and scalable microservices. Deploy and manage Azure cloud solutions, CI/CD pipelines, automated testing, Docker, and Kubernetes environments. Collaborate in Agile/Scrum teams through code reviews, planning, and architecture discussions. Apply database, data modeling, cloud architecture, scalability, security, and performance optimization knowledge, with potential work involving Databricks, Golang, React, infrastructure as code, and event-driven systems.

Designs and evolves an Azure-based observability and data quality platform. Builds reliable, automated infrastructure using IaC, CI/CD, Python, and Shell scripting; integrates AKS, Kafka, Databricks, Flink, Fivetran, and Azure SQL Server; develops monitoring and dashboards with Grafana, Prometheus, Power BI, or Databricks; applies SRE and FinOps practices to improve reliability, performance, data quality, incident response, compliance, and cloud cost efficiency.

Leads business analysis for procurement and finance analytics initiatives. Elicits and documents requirements, translates business needs into Power BI dashboard specifications, manages stakeholder alignment, supports project governance, and coordinates UAT, deployment, training, and post-go-live support. Mentors business analysts and drives improvements to analysis standards and delivery practices. Requires strong Power BI, data modeling, DAX, Azure analytics, procurement data, and bilingual English-Japanese communication skills.

Lead AI strategy, consulting, advisory, business development, presales, solution design, and client delivery. Identify high-value AI use cases, lead proof-of-concept initiatives, research emerging technologies, develop thought leadership, and support the launch and scaling of AI solutions. Balance strategic leadership with hands-on technical execution while collaborating with data scientists and AI architects to drive client AI adoption.

Lead supply chain business analysis and consulting across presales, RFPs, client discovery, requirements gathering, process mapping, fit-gap analysis, solution design, and implementation support. Translate business needs into functional requirements and scalable technology solutions using supply chain platforms, analytics, and AI. Facilitate stakeholder workshops, define KPIs and analytics requirements, support testing and deployment planning, and manage client relationships across business and technology teams.

The role involves shaping Data Management strategy, leading solutions development, driving AI innovation, building collaborations, and coaching junior team members.