Python Data Analyst Jobs in Kentucky (NOW HIRING)

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.