Key Responsibilities

Data Analysis & Reporting

• Analyze large datasets to identify trends, patterns, and business insights.
• Develop dashboards and reports to support data-driven decision making.
• Provide recommendations based on analytical findings.

Data Engineering & Automation

• Design and implement ETL / ELT pipelines for data extraction, transformation, and loading.
• Develop automated workflows for data processing and reporting.
• Integrate data from multiple sources such as Excel, CSV, SQL databases, and ERP systems.

Data Management

• Perform data cleaning, validation, and transformation to ensure data quality.
• Support data modeling and architecture design.
• Maintain structured datasets for analytics and reporting.

Tools & Systems

• Develop automation solutions using Python, SQL, and workflow tools.
• Utilize low-code platforms to automate data pipelines.
• Build data visualization dashboards for business users.

Process Improvement

• Identify opportunities to optimize business processes using automation and data analytics.
• Support digital transformation initiatives through data-driven solutions.

Required Skills & Qualifications

Technical Skills

• Strong programming skills in Python (Pandas, NumPy, Regex).
• Proficiency in SQL for complex queries and data transformation.
• Experience building ETL / ELT data pipelines.
• Experience with data workflow automation tools.
• Advanced Excel / VBA automation skills.

Data & Analytics

• Data cleaning, transformation, and validation.
• Data modeling and architecture understanding.
• Experience creating business intelligence dashboards (Power BI or similar).

Additional Experience (Preferred)

• Experience working with ERP systems or enterprise data environments.
• Knowledge of international trade data or customs compliance.
• Experience working with cross-border shipment data or supply chain datasets.