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A.P. Moller Maersk

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People Operations - Global Sr. Data & Digital advisor

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Description

Job Description
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 interactive dashboards and reports using Power BI, Power Query, and Advanced Excel.
    • Utilize Python 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 and SQL.
  • Advanced skills in Excel and Power BI.
  • 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

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