Key Responsibilities
· Engage with business stakeholders to identify analytics opportunities and understand strategic objectives.
· Gather, document, and prioritize analytics requirements in alignment with business goals.
· Conduct thorough business analysis to translate requirements into actionable plans.
· Analyze source applications and their data models to assess data quality, availability, and suitability for analytics purposes.
· Collaborate with data engineering and AI/ML/GenAI teams to design, implement, and integrate advanced analytics models.
· Perform analytics data modeling to support reporting and dashboard development.
· Design, build, and maintain dashboards and reports that deliver clear, insightful, and actionable information to stakeholders.
· Ensure data governance, accuracy, and consistency across all analytics deliverables.
· Communicate findings, recommendations, and progress to both technical and non-technical audiences.
Required Skills and Qualifications
· Bachelor’s Degree in business, computer science or in “STEM” Majors (Science, Technology, Engineering and Math)
· Minimum of 7 years of experience working with Data Management, Business Intelligence, or Data Analytics
· Minimum of 7 years of technical experience along with established leadership credentials across disciplines and functions within a product
· Proven experience in business analysis, product management, or analytics roles.
· Strong understanding of some of the source application data models and data structures like ERPs, CRMs and PLMs.
· Experience working with AI, Machine Learning, and Generative AI models in an analytics context.
· Expertise in analytics data modeling, dashboard, and report development using modern BI tools (e.g., Power BI, Tableau).
· Excellent communication, stakeholder management, and presentation skills.
· Ability to translate complex data concepts into clear business insights.
· Familiarity with data governance and best practices for data quality and security.
Preferred Qualifications
- Master’s degree in a relevant field.
- Experience in cloud-based analytics environments (e.g., Databricks, Azure, AWS, Google Cloud).
- Prior work with cross-functional teams in a fast-paced, agile environment.
- Certification in analytics, product management, or related disciplines.
Relocation Assistance Provided: Yes
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What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to 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. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
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