Data Analyst

RE1055 GE Renewable Energy Technologies Private Limited; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Relocation assistance provided

Job summary

GE Renewable Energy Technologies Private Limited in Bengaluru seeks a Data Analyst to build analytical pipelines and automate data flows from grid datasets. The role focuses on transforming raw data into actionable insights for regional and global teams.

You will design ELT processes, maintain databases, and create interactive dashboards using Power BI and Tableau. Collaboration with engineers is essential to align simulations with business metrics.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Electrical Engineering, or related quantitative field.
• 2–5 years of relevant experience with 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 energy/utility sector.
• Expertise in Power BI, including advanced data modelling and DirectQuery/Import strategy management.

Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines for high-frequency grid data.
• Develop Python scripts for data orchestration and automation of simulations.
• Manage relational schemas (PostgreSQL) and data-lake architectures for time-series data.
• Create high-performance dashboards in Power BI/Tableau for decision-makers; use AI agents where appropriate.
• Contribute to data-driven initiatives and promote high-quality data engineering.

Skills

Python scripting

Data visualization

ELT/ETL design

SQL / PostgreSQL

Education

Bachelor’s degree in Computer Science / Data Engineering / Electrical Engineering

Master’s or PhD degree (preferred)

Tools

PlanOS

PLEXOS

Power BI

Tableau

Databricks

Azure Data Factory

PostgreSQL

Docker

Kubernetes

Job description

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.

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.

Additional Information

• Relocation Assistance Provided: Yes

Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. That is our singular mission at GE Vernova: continuing to electrify the world while simultaneously working to help decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, "GE," in our name as an enduring and hard-earned badge of quality and ingenuity. "Ver" / "verde" signal Earth's verdant and lush ecosystems. "Nova," from the Latin "novus," nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have The Energy to Change the World.

www.gevernova.com