Data Analyst

We are looking for a self-driven Data Analyst to join our team. In this independent role, you will utilize your expertise in data analysis and engineering to convert raw data into actionable insights and develop innovative data-driven solutions. The ideal candidate will thrive in a fast-paced environment and manage projects autonomously while delivering high-quality results aligned with business goals.

Key Responsibilities:

Data Analysis:

• Independently design and implement Azure Functions and Logic Apps to automate data workflows.
• Develop and manage Azure Databases, ensuring data quality and security.
• Execute ETL processes, data cleaning, and manipulation to prepare data for analysis.

Data Visualization & Reporting:

• Create complex interactive dashboards and reports using Power BI, Power Query, and Advanced Excel.
• Utilize VBA to automate repetitive tasks and enhance reporting capabilities.
• Effectively present insights and findings to stakeholders.

Database Management:

• Manage and optimize database systems (DBMS, RDBMS) for efficient data retrieval and storage.
• Design data models using Star and Snowflake schemas to support analytics initiatives.

Independent Project Management:

• Take ownership of assigned projects from start to finish, ensuring timely delivery and high-quality outcomes.
• Proactively identify opportunities for process improvements and implement innovative solutions.

Must-Have Skills:

• Proficiency in Azure Functions and Azure Logic Apps.
• Experience with Azure Database services.
• Strong programming skills in Python, VBA and SQL.
• Advanced skills in Excel, Power BI, and Power Query.
• Solid understanding of data analytics principles, including ETL, data cleaning, and manipulation.
• Expertise in data visualization and dashboard creation.
• Familiarity with database management systems (DBMS, RDBMS) and data modeling (Star, Snowflake schemas).

Good-to-Have Skills:

• Experience with GitHub for version control and collaboration.
• Knowledge of data pipeline development.
• Familiarity with Azure Cloud Services.
• Experience with PySpark for big data processing.

Qualifications:

• Education: Bachelor’s degree in Data Science, Computer Science, or a related field. Master’s degree is a plus.
• Experience: Minimum 3+ years of experience in data analysis and engineering roles.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing  accommodationrequests@maersk.com.