Enterprise Data Analytics/Data Science (Surabaya)

Meratus Group is a leading integrated maritime and logistics operator in Indonesia, pioneering innovative solutions that drive efficiency and sustainability in the industry. With a rich history dating back to 1957, Meratus has evolved into a powerhouse, operating over 45 shipping routes, a fleet of 100 vessels, and a network of container terminals and logistics centers. At Meratus, we are committed to digitalization, innovation, and transformation, ensuring seamless logistics and maritime services across Indonesia and Southeast Asia. Our customer-centric approach and agile operations empower businesses to navigate complex supply chain challenges with confidence. We take pride in fostering a dynamic and inclusive workplace, where talented professionals can thrive and contribute to shaping the future of maritime logistics. Join us and be part of a team that is redefining industry standards while making a meaningful impact on global trade and sustainability. Position Overview : We are looking for a skilled Enterprise Data Analytics/Data Science professional to drive data transformation projects. You will architect robust data models, design efficient ETL pipelines, and develop optimization models that turn raw corporate data into strategic business insights. Responsibilities : Data Modeling & Architecture: Design and implement data models for all corporate enterprise data transformation projects. Pipeline & ETL Development: Build, maintain, and optimize data pipelines and ETL designs based on specific business and project requirements. Analytics & Visualization: Perform data cleansing, generate complex data outputs, and build intuitive analytics dashboards for executive decision-making. Data Management: Oversee all core areas of data management, ensuring data quality, governance, and structural integrity across databases. Optimization Modeling: Collaborate on key data architecture elements to assist in designing and building advanced optimization models. Project Governance: Track data project progress, update project management records, and assist in comprehensive milestone reporting. Requirements : Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related quantitative field. At least 5 years of hands-on experience in Data Engineering, Data Modeling, or Data Science roles. Proficiency in Python/R and advanced SQL queries; deep experience with ETL tools and data warehouse architectures. Strong hands-on experience with data visualization platforms (e.g., Power BI, Tableau). Familiarity with data management frameworks and project management tracking tools.