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Open nowPosted yesterday

Staff Analytics Engineer

GE Vernova3,201 open roles

Where
Barcelona
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Your applicationOpen nowStaff Analytics EngineerGE Vernova · Barcelona

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. GE Vernova postings stay open a median of 30 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.2%30 days
  6. 59.1%60 days
This job: posted yesterday

GE Vernova median: 30 days open

The posting

Job Description Summary

GE Vernova is seeking an experienced Staff Analytics Engineer to join our Wind Engineering FPM Fleet Data & Analytics team. In this role, you will develop scalable data and analytics solutions that support wind turbine reliability, fleet performance, engineering investigations, and operational decision-making across our wind business.

You will be responsible for delivering new, re-usable analytics solutions to drive growth in GE Vernova Wind Services portfolio. You will work across a broad set of data sources, including SCADA, Condition based Monitoring Systems, Turbine and Sensor data, Operational Systems, and Enterprise Data, to build robust pipelines, analytics products, and monitoring capabilities. The ideal candidate combines strong technical depth in data engineering and analytics development with experience in platform design, DevOps practices, production support, and agile delivery.

This role requires close collaboration with engineering, digital technology, product, and operations teams to turn complex wind turbine and fleet data into trusted, scalable, and actionable solutions that improve product performance and customer outcomes.

Job Description

Essential Responsibilities

As a Staff Analytics Engineer, for GE Vernova Wind’s FPM Data & Analytics team, you must have a good understanding of basic Wind Turbine equipment – reliability and failure causes, ability to quickly understand the key operational characteristics of new equipment/ Component, collaborate with domain experts for failure mode knowledge, and assess how possible failure models will affect measured parameters and key performance indicators (KPIs). An Analytic Package is a complete configuration template for a class or type of equipment; includes the Sematic Data Model, Equipment Tag Model, Component Groupings, Failure Indication Logic and relation parameter configuration applied to Physics Based, Mathematical or Statistics based, or Machine Learning (Non-Parametric Regression Techniques such as Similarity Based Modeling, Principal Component Analysis, Kernel Regression, Support Vector Machines etc.; Decisions Trees and other such) analytics techniques commonly used for Industrial Analytics) as well as the orchestration logic of one or more of these techniques.

  • Work on a team of Analytics Engineers and Data Scientists who analyze equipment operation and failure modes to detect the failures through the analysis of process environment, equipment operation and real-time sensor data
  • Apply a structured process to design and build new analytic packages. Review relevant technical documents
  • Create derivative analytics for variants of known equipment, incorporation of field feedback to improve the performance and actionability of the analytics, maintaining the Analytic library and catalogue
  • Write Analytics Functional Documentation for the Field Services teams, gather end-user requirements and support product engineering in development of new generations of GE Vernova Wind Solutions.
  • Develop a trusted advocate relationship with internal and external customer constituents. Serve as the communications hub and "source of truth" for applications of the analytics in the field. Ensure that all teams have correct and timely information they need to ensure successful delivery of analytics
  • Provide supporting technical materials, education and in person expertise during gate discussions, partner and cross-business collaboration. Evangelize the portfolio capabilities by presenting to customers (internal and external) and user groups where applicable
  • Drive repeatability in solution component architectures. Foster an environment that encourages innovation, creative risk taking, speed and agility designing and managing Analytic Blueprint Packages

Education Qualification

  • Bachelor’s degree in computer science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.

Desired Characteristics

Technical Expertise:

  • Proven and solid experience designing analytics utilizing non-parametric Machine Learning algorithms or heuristics Knowledge and experience using Analytics Software Packages, open-source scripting and data analysis packages like Python. Strong understanding of SQL and database expertise.
  • Proven experience designing, deploying or operating applications / infrastructure in a public or private cloud environment
  • Demonstrated ability to work within a small, collaborative project team Attention to detail with a willingness to follow a rigorous quality process. Strong oral and written communication skills. Aptitude for the use of complex software applications, abstract concepts, use of data Understanding of industrial equipment and process operations, especially in the areas of maintenance and process control Clear understanding of Systems Development Life Cycle (SDLC) methodology and respective experience with its application in design and development phases Strong organizational and project management skills Strong analytical and problem resolution skills

Business Acumen:

  • Strong Customer mindset and ability to understand commercial and product strategy
  • Bridging between Research and Solution design
  • Demonstrates awareness of important current trends (economic, political, environmental, regulatory, etc.) affecting the industries that GE Digital operates in
  • Experience working effectively on multiple outcome-focused commercial solutions simultaneously
  • Ability to synthesize broad-based user requirements into a unified plan to meet key business objectives

Leadership:

  • Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analytics skills and best practices by actively incorporating input from various sources
  • Strong analytical and strong problem solving skills - effectively evaluates information/data to make decisions; anticipates obstacles and develops plans to resolve
  • Continuous improvement oriented – actively generates process improvements; champions and drives change initiatives

Personal Attributes:

  • Emotional Intelligence, ability to influence up and out and the ability to work independently
  • Must be a team player with a strong desire to win
  • Highly organized and efficient; able to balance competing priorities and execute accordingly
  • Strong oral and written communication skills.

Note This Job Description is intended to provide a high-level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required by each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.

Additional Information

Relocation Assistance Provided: No

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