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Energy Data Science Jobs in Raleigh, NC (NOW HIRING)

Wood Plc

Environmental Scientist

Durham, NC · Hybrid

$72K - $95K/yr

Ideal candidates will have a Bachelor of Science degree in biology, biological sciences, ecology ... data, preparing exhibits, and writing report sections. * Travel/field work (daytime and overnight ...

IONNA LLC

NOC Engineer

Raleigh, NC

$80/hr

Bachelor's degree in engineering, computer science, data science, or related field, or equivalent ... energy, telecommunications, automotive, SaaS operations, or similar). * Strong SQL and data ...

IONNA LLC

NOC Engineer

Raleigh, NC

$80/hr

Bachelor's degree in engineering, computer science, data science, or related field, or equivalent ... energy, telecommunications, automotive, SaaS operations, or similar). * Strong SQL and data ...

IONNA LLC

NOC Engineer

Raleigh, NC · On-site

$80/hr

Bachelor's degree in engineering, computer science, data science, or related field, or equivalent ... energy, telecommunications, automotive, SaaS operations, or similar). * Strong SQL and data ...

Susteon

Catalysis Scientist

Morrisville, NC · On-site

If you want to build the materials behind the next generation of American energy and industrial ... PhD in Chemistry, Chemical Engineering, or Materials Science with 4+ years of heterogeneous ...

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Showing results 1-20

All JobsEnergy Data Science JobsEnergy Data Science Jobs in Raleigh, NC

Energy Data Science information

What is the difference between Energy Data Science vs Energy Analyst?

AspectEnergy Data ScientistEnergy Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Energy, Economics, or related field; strong analytical skills
Work EnvironmentData-driven projects, modeling, and algorithm development in tech or energy companiesData analysis, reporting, and market assessment in energy firms or utilities
Employer & Industry UsageTech companies, energy firms focusing on data modeling and predictive analyticsUtilities, energy consulting, and market analysis firms

Energy Data Scientists focus on developing models and algorithms to analyze energy data, while Energy Analysts interpret data to inform business decisions. Both roles require analytical skills, but Data Scientists emphasize programming and modeling, whereas Analysts focus on reporting and market insights.

What are popular job titles related to Energy Data Science jobs in Raleigh, NC? For Energy Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Energy Data Science jobs in Raleigh, NC look for? The top searched job categories for Energy Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Energy Data Science jobs? Cities near Raleigh, NC with the most Energy Data Science job openings:
Energy Data Science jobs near you
Lead Sales Operations Analyst

Lead Sales Operations Analyst

Appian Corporation

Raleigh, NC • On-site

Other

Posted 4 days ago

Job description

Are you ready to join a high-performance, fast-moving, and collaborative GTM Operations team where your analytical skills will be the engine of our success? We are seeking a highly motivated Sales Operations Analyst to drive efficiency and provide critical insights in a fast-paced environment. This role requires high cross-functional collaboration & communication, strong analytical skills, and a relentless focus on optimizing our sales processes and performance. 

What You'll Do: 
Your primary mission will be to transform complex data into actionable strategies that empower our Sales leadership and improve team performance. Key responsibilities include:

Data Analysis & Strategy

  • Identify business challenges and opportunities through data analysis, delivering strategic and tactical recommendations while proactively leveraging AI tools and automation to accelerate insights, improve decision-making, and drive productivity gains.

  • Evolve problem-solving frameworks, develop and test hypotheses, and lead the implementation of scalable solutions, including defining success metrics and developing ongoing monitoring plans.

  • Demonstrate deep curiosity about emerging AI capabilities and continuously evaluate, experiment with, and integrate AI-powered tools and workflows to improve operational efficiency, analytical rigor, and cross-functional collaboration.

Reporting & Performance

  • Own the process of reporting and analyzing sales pipeline, bookings, headcount, and productivity to identify trends and opportunities for growth.

  • Conduct monthly and quarterly analysis to track sales quota achievement.

  • Drive the health of the business through performance monitoring, analysis, process improvements, and key insights.

Planning & Process Improvement

  • Provide critical analytical and administrative support for the annual planning process, specifically supporting the design and implementation of sales territory strategy.

  • Manage ongoing escalations and act as a key cross-functional point of contact, ensuring smooth operations.

  • Support various strategic sales operations projects.

Qualifications:

  • Bachelor's degree in math, physics, data science, or other STEM related field. 

  • At least 6 years of analytical experience with a proven track record of transforming Sales or Financial Data into actionable strategies.

  • Must be highly proficient in Google Sheets / Microsoft Excel, and other data systems like Salesforce.

  • Experience leveraging AI in Automation, Workflow Enablement and building AI-powered agents to eliminate manual work and improve efficiency

  • Leverage AI tools to support analysis, content creation and summarization

  • Passion for analytics and experience in a Sales Operations or FP&A Analytics role.

  • Strong process development and writing experience.

  • Experience with reporting platform such as Tableau or Looker is preferred

  • Demonstrated ability to be highly motivated, a quick thinker and learner, and capable of working independently as well as part of a team.

  • Highly organized, detail-oriented, and methodical approach to problem-solving.

  • Willingness to jump in and assist in a variety of projects in a high-energy setting.

  • Experience utilizing AI in data clean up, analysis and presentation of information as applicable.

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