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Business Analyst - AI and Data Analytics

Job in Erlanger, Kenton County, Kentucky, 41018, USA
Listing for: DHL Express
Full Time position
Listed on 2026-05-29
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Security
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Business Analyst - AI and Data Analytics

We have an immediate career opportunity for a Business Analyst - AI and Data Analytics with a strong foundation in data analytics, AI-enabled insights, and process automation. This role will serve as a critical link between operations, trade compliance, customs brokerage, finance, and IT teams, driving the evolution of clearance processes through data-driven and AI-powered solutions. The position is responsible for analyzing, designing, and optimizing end-to-end clearance processes to ensure compliant, efficient, cost-effective, and timely import/export operations.

The ideal candidate will leverage advanced analytics, machine learning models, and automation tools to identify opportunities, improve decision-making, and deliver strategic insights that support DHL’s global logistics network and regulatory compliance objectives.

Key Responsibilities Data Analysis, Reporting & Insights
  • Analyze operational and financial data to support daily business decisions across DHL teams.
  • Track, enhance, and automate key performance indicators (KPIs) for clearance functions (e.g., clearance cycle times, delays, duty/tax forecasting, exception rates, non-compliance risks).
  • Develop and maintain interactive dashboards and self-service analytics using tools like Power BI.
  • Translate complex datasets into actionable insights for internal stakeholders including Operations, Compliance, and Gateway leadership.
AI, Predictive Analytics & Automation
  • Apply AI/ML techniques (e.g., classification, anomaly detection, time-series forecasting) to optimize clearance workflows and identify patterns not visible through traditional analytics.
  • Assist in building intelligent automation solutions (e.g., RPA, workflow automation) to streamline repetitive clearance and reporting processes.
  • Integrate predictive outputs into operational dashboards and business processes to enable real-time, data-driven decision-making.
  • Explore and support implementation of Generative AI use cases (e.g., automated report generation, document summarization, tariff classification assistance).
Data Engineering & Model Operations
  • Create and maintain data pipelines utilizing Python, SQL, and Snowflake to support analytics and AI use cases.
  • Ensure data quality, governance, reproducibility, and version control across all analytics and modeling workflows.
  • Monitor model performance (accuracy, drift, data quality) and assist in model retraining and tuning.
  • Collaborate with IT and data engineering teams to scale and produce analytics solutions.
Process Improvement & Business Collaboration
  • Identify opportunities for process optimization, cost reduction, and service improvements within clearance operations.
  • Analyze service incidents and apply root cause analysis and AI-driven pattern detection to reduce recurring issues.
  • Support cross-functional projects aimed at enhancing compliance, efficiency, and customer experience.
Governance, Compliance & AI Ethics
  • Ensure adherence to DHL’s data governance, privacy, and Responsible AI standards.
  • Maintain thorough documentation, model cards, and audit trails for all analytics and AI solutions.
  • Support compliance with global trade regulations by leveraging data insights and automated validation checks.
Skills & Qualifications
  • 2–4 years of experience in data analytics, business analytics, or a related field.
  • Bachelor’s degree in Business, Supply Chain, Logistics, Data Analytics, Finance, Computer Science, or equivalent experience.
  • Strong proficiency in Excel and data analysis concepts.
  • Working knowledge of Python, SQL, Snowflake for data manipulation and analysis.
  • Experience with data visualization tools (e.g., Power BI).
  • Ability to analyze data, identify trends, and communicate insights clearly to business stakeholders.
  • Knowledge of Generative AI tools and applications within business workflows.
  • Attention to detail and ability to manage multiple tasks with guidance.
  • Interest in learning customs, trade, and logistics processes.
  • This position requires access to secured airport areas. Selected candidates must be able to obtain and maintain a Security Identification Display Area (SIDA) badge, which includes passing a…
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