Senior Data Analyst (Logistics Middle Mile)

Location: Taipei, Taiwan

Company

hirify.global operates e-commerce and logistics services in Taiwan, including next-day Rocket Delivery and international Rocket Overseas delivery.

What you will do

• Provide actionable insights, reporting, and deep-dive analysis for middle-mile, hub, transportation, and operations leaders.
• Investigate network performance, service quality, productivity, transportation costs, bottlenecks, and root causes.
• Build forecasting and predictive models for volume, labor, transportation demand, parcel flow, SLA attainment, capacity, and network optimization.
• Recommend process improvements, quantify operational impact, and support Lean, Six Sigma, experimentation, and continuous improvement initiatives.
• Develop executive dashboards, scorecards, KPI frameworks, and self-service reporting; automate manual reporting and improve metric consistency.
• Communicate analytical findings to senior leadership and cross-functional stakeholders while supporting AI and advanced analytics automation.

Requirements

• Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Operations Research, Economics, or a related quantitative field.
• 4+ years of experience in data analytics, business intelligence, operations analytics, supply chain analytics, or related fields.
• Advanced SQL proficiency and strong Python skills for analysis, data manipulation, automation, and modeling.
• Experience with Tableau, Power BI, or similar data visualization platforms.
• Strong understanding of statistical concepts and analytical methodologies, with demonstrated problem-solving ability, attention to detail, and data validation skills.
• Ability to manage multiple priorities in a fast-paced operational environment.
• Strong communication skills in both English and Mandarin are required.

Nice to have

• Master’s degree in Data Science, Analytics, Industrial Engineering, Supply Chain Management, Operations Research, or a related field.
• Experience in logistics, transportation, fulfillment, e-commerce, last-mile, middle-mile, warehouse, or supply chain operations.
• Experience with network optimization, routing analytics, forecasting, and capacity planning.
• Knowledge of experimentation frameworks, causal inference, statistical modeling, Lean, Six Sigma, or process improvement methodologies.
• Experience building machine learning solutions and predictive models.
• Familiarity with ETL pipelines and modern data stack tools such as Airflow, DBT, Spark, or similar technologies.
• Experience working with large-scale operational datasets.

Culture & Benefits

• Cross-functional collaboration with Operations, Transportation, Finance, Product, and Engineering stakeholders.
• Work focuses on measurable improvements in middle-mile cost, productivity, service quality, SLA, KPI visibility, capacity planning, and network expansion.
• The role is based in Taipei, Taiwan.

Hiring process

• Application review, job fit interview, focus interview, and offer.
• The process and interview schedule may vary; results are communicated via the email address submitted during application.
• The posting may close early if all openings are filled, and an offer may be rescinded for false application information.