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 creative solutions.

Must-Have Skills




Proficiency in Azure Functions and Azure Logic Apps.
Experience with Azure Database services.
Robust 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).

Valuable-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

📌 People Operations Global Sr Data & Digital Advisor Bengaluru
🏢 A.P. Moller - Maersk
📍 Bengaluru