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DHL is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our culture is about personal commitment – to our business, to each other and to our global communities. DHL is dedicated to being a great place to work. In addition to competitive compensation packages, our employees enjoy a range of programs, services and benefits that bring the best to their personal lives.
Start YOUR career with DHL today…
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 criminal history records check, fingerprinting, and meeting all federal, state, and local regulatory requirements. Candidates must be able to provide all documentation necessary to support the badging process.
Employee Benefits & Incentives
DHL Express benefits and incentive offerings are designed to reflect a substantial experience for both employees and their dependents during their career and life journey. The specifics will vary, but wherever you join and in whatever role, you'll find our benefits and rewards are among the best in the industry. They include:
- Competitive Pay
- Retirement Savings – 401K with company match
- Medical, Dental, Vision, well-being programs
- Tuition Reimbursement
- Generous Paid Time Off
- Paid Leave
- Employee Discount Program
- Employee Assistance & Work Life Program
- Outstanding training opportunities
DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. The EEO is the Law poster is available here: https://www.eeoc.gov/employers/eeo-law-poster
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.