Data Analyst

About the Role

This position is responsible for the development, testing, and implementation of Data Engineering solutions, including data modeling, data quality, and semantics/metadata development. The Data Engineer will collaborate with the team to develop cutting-edge data and analytics-driven solutions, working with GE Vernova to elevate business analytics to a new level of predictive analytics, leveraging Big Data tools and technologies.

Key Responsibilities

• Perform various data loading processes and data transformations.
• Possess foundational knowledge of parsing methods, formatting, and data transformation for data analysis purposes.
• Demonstrate expertise in implementing logical/physical data models supporting MDM Best Practices.
• Execute the integration of various data source formats into master data.
• Exhibit proficiency in at least one ETL tool.
• Strong communication skills (written and verbal).

Requirements & Tech Stack

• Development experience with scripting languages (Pig, Python, Perl, etc.).
• Translates analytical problems into actionable data.
• Understanding of logical and physical data models, Big Data storage architecture, data modeling methodologies, metadata management, master data management, data hierarchies, and data profiling.
• Awareness of new technologies and technology trends, independently contributing innovative ideas.

Qualifications

• Foundational experience in Data Engineering.
• Bachelor's degree level of academic knowledge.

Leadership & Personal Attributes

• Good teamwork and social skills.
• Ability to summarize information comprehensibly.
• Ability to present information and insights clearly and distinctly.
• Capabilities for visualizing relevant data and insights gained.
• Utilizes curiosity and creativity to drive business value.
• Asks questions about new data and projects. Can assess the far-reaching consequences of an idea.
• Confidently presents new ideas and concepts. Finds connections between previously unrelated ideas.
• Eagerness for continuous professional development and lifelong learning.