Associate Implementation Consultant (R-19843)

As a Automation Engineer in the D&B Taiwan Delivery & Implementation team, your primary focus will be on：

【KEY RESPONSIBILITIES】
• Customer Consulting & Analytics (80%)
• Conduct customer discovery workshops and business requirement assessments.
• Understand customer business priorities, industry challenges, and analytical needs.
• Translate customer requirements into data-driven solutions and recommendations.
• Deliver analytical insights and executive-level presentations.
• Provide consultative support for Risk, Supply Chain, ESG, Compliance, and Data Intelligence solutions.
• Partner with Sales and Customer Success teams during customer onboarding and adoption phases.
• Support strategic customer engagements and complex consulting projects.
• Develop customer success plans focused on value realization and measurable business impact.
• Act as a trusted advisor for enterprise customers.
Data Science & Solution Development (20%)
• Develop analytical models and customer-specific data solutions.
• Perform exploratory data analysis and statistical assessments.
• Build Python-based analytical tools and reusable frameworks.
• Create customer dashboards and visualizations.
• Support AI, machine learning, and advanced analytics initiatives where applicable.
• Contribute to analytical best practices and knowledge-sharing initiatives.

【REQUIRED TECHNICAL SKILLS】
• Python
• SQL
• REST API
• Excel
• Statistical Analysis
• Data Visualization
• Data Storytelling
• Business Analytics
【PREFERRED TECHNICAL SKILLS】
• Machine Learning
• Predictive Analytics
• Power BI
• Tableau
• Databricks
• AI Applications and LLMs
• JIRA
• Confluence

• 5+ years of experience in customer consulting, analytics, business intelligence, data science, or advisory services.
• Proven experience presenting insights and recommendations to business stakeholders.
• Master's degree in Data Science, Statistics, Analytics, Economics, or related field.
• Experience in Risk Analytics, ESG Analytics, Financial Services, Supply Chain Intelligence, or Commercial Data.
• Experience in customer-facing consulting engagements.