Associate Implementation Consultant (R-19843)
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Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at .
As a Automation Engineer in the D&B Taiwan Delivery & Implementation team, your primary focus will be on：
【KEY RESPONSIBILITIES】
【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.
• 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.
【SKILLS】
【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
• 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
【EXPERIENCE REQUIREMENTS】
• 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.
• 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.
All Dun & Bradstreet job postings can be found at . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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Skills
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- I am willing and able to work onsite and full-time at the office location listed in this job posting.
- Are you a current or former employee of KPMG?