Data Analyst Engineer

MSC Mediterranean Shipping Company SA

1d

About The Position

We are seeking a Data Analyst Engineer who is passionate about transforming data into reliable, scalable, and actionable insights. This role combines analytical expertise with data engineering capabilities to design, build, and maintain data pipelines, analytics solutions, and reporting tools that support strategic and operational decision‑making across the organization.
The ideal candidate bridges business needs and technical execution—ensuring data accuracy, performance, and accessibility while enabling data-driven decisions and supporting ongoing digital transformation initiatives.

Requirements

• Bachelor’s degree in computer science, Information Systems, Data Science, or a related field
• 3+ years of experience in data analysis, data engineering, or similar hybrid roles
• Strong proficiency in SQL and relational databases (SQL Server preferred)
• Experience designing and maintaining ETL processes and data pipelines (SSIS or similar tools)
• Hands-on experience with data visualization and reporting tools (Power BI, Tableau, or similar)
• Experience with APIs and data integration techniques
• Basic to intermediate proficiency in Python for data analysis, automation, or data processing
• Experience supporting data warehouses or analytical data models
• Proven ability to work with cross-functional and/or international teams
• Strong analytical thinking, problem-solving, and communication skills

Responsibilities

• Analyze large and complex datasets to deliver insights that support business and strategic decisions
• Design, develop, and maintain ETL workflows and data pipelines to ensure reliable data availability
• Build and optimize dashboards, reports, and analytical models for business users
• Collaborate with stakeholders to translate business requirements into scalable data solutions
• Ensure data quality, integrity, consistency, and performance across data sources
• Support the development and maintenance of data warehouses and structured analytics layers
• Identify opportunities for data automation, efficiency improvements, and process optimization
• Contribute to digital transformation initiatives leveraging data and analytics
• Document data processes, data definitions, and best practices

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level