Yuxi Global
Computer Software
SeniorAnalyticsEngineer(AI&BusinessIntelligence)
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Analytics Engineer (AI & Business Intelligence) at Yuxi Global. Skills: Analytics Engineering, AI, Business Intelligence, Data Modelling. Own end-to-end analytics initiatives. Partner with stakeholders”
What You'll Achieve.
Drive business success; Improve efficiency; Strengthen resilience; Accelerate growth; Solve complex business and technology challenges; Make a meaningful impact; Turn BI ambiguity into trusted, scalable, AI-enabled analytics capability
Industry & Context.
Problem solving; Root-cause analysis; Analytical judgment
Alignment with U. S. Pacific Time working hours
What They're Looking For.
Must Have
8+ years of professional experience, Advanced SQL expertise, Experience with large datasets, Experience owning analytics projects end-to-end, Hands-on experience applying AI/automation to analytics, Experience with AI-enabled BI patterns, Understanding of data validation, Ability to work independently, Stakeholder management skills, Written and verbal communication skills
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Own end-to-end analytics initiatives
Partner with stakeholders
and validate advanced SQL queries
Develop scalable analytics solutions
Apply AI and automation to improve BI workflows
and refine AI-assisted analytics workflows
Identify opportunities to reduce manual reporting effort
Validate analytical outputs
Collaborate with BI engineers
Create clear documentation
Operate independently in a fast-paced environment
Support adoption of analytics and AI-enabled BI solutions
Help define reusable patterns for agentic BI delivery
Mentor analysts or engineers
How You'll Work.
Team & Collaboration
Cross-functional teams; BI engineers; Data engineers; Product analysts; Business stakeholders
Communication Scope
Clear communication; Stakeholder communication; Executive presentations
Process & Methodology
Agile, Scrum, Roadmap planning
Full Job Description
Yuxi Global, powered by Veritas Automata, is a technology consulting and software development company dedicated to delivering innovative solutions that drive business success. Through our strategic partnership with Veritas Automata, we combine expertise in automation, AI, cybersecurity, and advanced technology to help organizations improve efficiency, strengthen resilience, and accelerate growth. We work with clients across industries to solve complex business and technology challenges through practical, scalable solutions. Our culture values innovation, accountability, collaboration, and continuous learning, creating opportunities for talented professionals to make a meaningful impact. Yuxi Global is seeking a Senior AI Analytics Engineer / Agentic BI Lead to support a fast-moving business intelligence team working on large-scale product and operational analytics. This role is designed for a high-performing analytics professional who combines advanced SQL expertise, enterprise-scale data experience, product-minded analytics judgment, and hands-on experience applying AI to business intelligence workflows. The successful candidate will not operate as a traditional Business Analyst or dashboard-only reporting resource. This person must be able to own ambiguous analytics problems from stakeholder discovery through SQL development, validation, AI-assisted workflow design, automation, delivery, and business adoption. The ideal candidate has experience working with large data ecosystems, preferably datasets with hundreds of millions of rows or more, and can reason deeply about data quality, performance, metric definitions, root-cause analysis, and stakeholder decision-making. This role requires someone who can work independently, ramp quickly, communicate clearly, and drive outcomes with minimal hand-holding. This is a builder-owner role. The right person can sit with business and technical stakeholders, understand the real problem, find the right data, write and optimize
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