BI Developer/Analytics Enginner(Bilingual Chinese/English)

About Speed Xpress Inc.

Founded in 2022, SpeedX offers a superior last-mile delivery experience designed to better connect brands to customers. At SpeedX, we’re more than just a delivery company – we’re partners in success. We believe that ecommerce delivery shouldn’t be a hassle, a financial strain, or a source of stress for businesses. We created a next-level delivery experience that’s designed to meet business's needs, exceed their expectations, and future-proof their ecommerce business.

In just three years of business, we have grown our client list to over a dozen online marketplaces, 3PLs and direct retailers and are now delivering over 300,000 packages daily worldwide – with the number constantly growing. And we have no plans of slowing down!

Job Summary

We are seeking a BI Developer / Analytics Engineer to design, develop, and maintain enterprise reporting and analytics solutions that transform raw data into actionable business insights. This role will work closely with Business Analysts, business stakeholders, and data engineering teams to build scalable dashboards, semantic models, curated data marts, and self-service reporting solutions.

The ideal candidate has strong experience in business intelligence development, dimensional data modeling, SQL optimization, and dashboard design using modern BI platforms. This role requires both technical expertise and strong business understanding to ensure consistent, reliable, and scalable analytics across the organization.

Responsibilities

• Improve dashboard performance, data refresh efficiency, and query execution times
• Troubleshoot reporting and data performance issues
• Ensure scalability and maintainability of BI solutions

Reporting Governance & Standards

• Standardize metrics and reporting definitions across departments
• Maintain data accuracy, consistency, and reporting quality standards
• Implement BI development best practices and documentation standards
• Support user acceptance testing (UAT) and dashboard validation activities

Collaboration & Support

• Work closely with Business Analysts and stakeholders to understand reporting requirements and business processes
• Partner with data engineers to ensure reliable and high-quality data pipelines
• Provide support and enhancements for existing dashboards and reporting solutions
• Train and support business users on self-service reporting capabilities

Required Qualifications

• Bachelor’s degree or Master’s degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or related field
• 3+ years of experience in BI development, analytics engineering, or business intelligence solutions
• Strong experience developing dashboards and enterprise reporting solutions
• Advanced SQL skills and experience optimizing analytical queries
• Experience with dimensional modeling and data warehousing concepts
• Strong analytical, problem-solving, and communication skills

Required Technical Skills

Business Intelligence & Reporting

• Power BI and/or Tableau
• Web-based dashboard development
• Self-service reporting platforms

Data & Modeling

• SQL
• Dimensional modeling
• Data marts
• Semantic/business modeling
• KPI and metrics design

Preferred Additional Skills

• Experience with data warehouse/lakehouse environments
• Familiarity with dbt or analytics engineering workflows
• Knowledge of ETL/ELT processes
• Experience with DAX, Tableau calculations, or similar analytical languages
• Understanding of data governance and reporting standards

Preferred Qualifications

• Experience supporting enterprise BI environments
• Experience working with cross-functional business teams
• Familiarity with cloud-based analytics platforms
• Experience with performance tuning for large-scale reporting environments
• Understanding of financial, operational, or executive reporting

Key Competencies

• Business intelligence development
• Data visualization and storytelling
• Analytical thinking
• Data modeling and KPI design
• Attention to detail and data accuracy
• Cross-functional collaboration
• Problem-solving and performance optimization