People Operations - Global Sr. Data & Digital advisor

About Maersk Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation, we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence.

At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organization reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics.

Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. What we Offer This is an exciting career opportunity in an international, challenging business setting known for diversity and high paced environment. You will get to focus on creating valuable relations with stakeholders and work with highly professional teams in an environment where you will be valued, recognized and well rewarded.  

You will work with amazing and diverse colleagues with a deep sense of commitment to live Our Values and together, go all the way for our customers, society and for each other. 

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

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  [email removed] .