Job Description Summary

The Data Analyst will develop technical architecture and automation support to regional and global GE Vernova Consulting Services team. This role employs a data-centric solutions approach to transform raw power system datasets into high-fidelity actionable insights, enhancing our tactical and strategic market position through robust analytical pipelines.

Job Description

Roles and Responsibilities

Infrastructure Management: Design, build, and maintain scalable ELT/ETL (Extract, Transform, Load/Extract Transform, Load) pipelines to ingest and transform high-frequency grid data, ensuring data integrity and lineage.
Data Pipeline Automation: Develop advanced Python scripts for data orchestration, automating the extraction of simulation results from production cost and capacity expansion models (e.g., PlanOS, PLEXOS).
Data Modelling & Warehousing: Manage relational database schemas (PostgreSQL) and implement data-lake architectures to optimize storage and query performance for complex power system time-series data.
Visualization & Business Intelligence (BI): Design and develop high-performance interactive dashboards using Power BI or Tableau that translates complex technical data into clear, actionable insights for key decision-makers. Should be able to use PowerBI, Co-pilot and AI agents to create reports.
Collaborate with power systems engineers to bridge the gap between simulation outputs and front-end visualization, ensuring seamless integration of grid reliability and economic metrics.
Innovation: Actively contribute to GE Vernova’s internal data-driven business initiatives, promoting a culture of high-quality data engineering and technical innovation.

Required Qualifications

Bachelor’s degree in Computer Science, Data Engineering, Electrical Engineering, or related quantitative field.
2-5 years of relevant experience, with proficiency on Python-based automation, database management (PostgreSQL or similar), and sophisticated data visualization.
Demonstrated proficiency in building end-to-end ELT workflows and managing large-scale datasets, preferably within the energy or utility sector.
Expertise in Power BI, including advanced data modelling (schemas), data analysis optimization, and Direct Query/Import strategy management.
Strong analytical skills with an ability to manage multiple complex data priorities across different regions simultaneously.
Passion for solving challenging technical problems in a collaborative, cross-functional environment.

Desired Characteristics

Knowledge of power market modelling, simulation tools (e.g., PlanOS or similar), and an understanding of electric power system fundamentals is a plus.
Proficiency in Cloud data environments (e.g., Databricks, Azure Data Factory, Snowflake) and containerization (Docker/Kubernetes).
Active participation in industry professional data or engineering societies.
Master’s or PhD degree in Computer Science, Data Engineering, Electrical Engineering, or related quantitative field.