At Ndustrial, we’re on a mission to help industrial, logistics and manufacturing companies optimize "Energy Intensity"—the critical metric of energy, emissions, and cost per unit of production. Our market-leading SaaS platform combines AI, IoT, and cloud technology to deliver real-time, data-driven insights that enable smarter, more efficient energy decisions. By transforming energy-intensive operations, we help our customers reduce costs, improve performance, and drive sustainability. With clients like Lineage, ABB, and W.L. Gore, Ndustrial has already helped save over $100M in energy expenses. Join us in revolutionizing the industrial sector for a more sustainable future.

More About Us:

We live by our values: Teamwork, Customer First, Quality, and Curiosity. Founded by experts in Silicon Valley innovation, industrial engineering, and computer science, we’ve grown from three to 50+ employees in Raleigh and beyond. With a team of forward-thinkers and problem-solvers, we’re driving the digital transformation of industries globally.

We are a Raleigh, NC based Series B startup backed by world class investors like ABB, Clean Energy Ventures, ENGIE New Ventures, and GS Energy, we serve global customers in energy-intensive sectors like cold storage, logistics, and manufacturing.

Join us and help shape the future of energy efficiency while growing in a supportive, impactful environment.

Responsibilities:

• Conducts statistical modeling on large datasets to identify patterns, trends, and correlations; applies statistical techniques to large datasets. (20%) Develops predictive models and algorithms to optimize energy consumption and improve energy efficiency. (20%)
• Performs data extraction, cleaning, and transformation to prepare datasets for machine learning and statistical analysis. (15%)
• Works closely with product managers and customer success teams to analyze and refine data models and visualizations. (10%) Works with software engineers to implement and deploy data-driven solutions. (15%) Collaborates with customers to understand data needs, generate insights, and develop new data solutions. (10%)
• Presents technical findings and recommendations to internal stakeholders and customers. (05%) Works with machine learning models, statistical programming, and cloud-based data solutions (AWS, Azure). (05%)

• Master’s degree in Information Management, Management and Data Analytics, Data Science, or a related field.
• Two (2) years related experience as a Business Analyst or related occupation.
• Experience is required and must include: Applying statistical modeling and machine learning techniques to analyze large datasets, identify trends, and support data-driven decision-making in optimization and forecasting; Developing and implementing predictive models and algorithms to improve energy efficiency, optimize industrial IoT data, and enhance operational performance; Performing data extraction, cleaning, and transformation using SQL and Python to prepare datasets for machine learning and statistical analysis; Collaborating with cross functional teams, including product managers, software engineers, and customer success teams, to refine data models, create visualizations, and deploy data-driven solutions; and Utilizing cloud-based data solutions (AWS and Azure) and statistical programming to build, deploy, and maintain scalable data solutions.
• Work from home up to 50%.
• Employee must reside in metro area of office HQ (Raleigh, NC).

• Flexible PTO Policy
• Outstanding Benefits: Medical, Dental and Vision, STD, LTD, Life, AD&D insurance employee premiums fully covered!
• Annual professional development stipend ($500/year)
• Commuter benefit
• Hey Taco! Peer Recognition Rewards
• 401K contribution program
• Equity Options
• Weekly catered lunches
• Flexible hybrid work environment to support a healthy work-life balance
• New, modern, open office conveniently located on S. Harrington St. in Downtown Raleigh
• Inclusive, communicative, innovative and fun environment, we enjoy working together!
• Dog friendly office
• As part of the Pledge 1% community, we donate 1% of employee time to charitable efforts every year. We actively support causes like Habitat for Humanity and One Tree Planted, in addition to various local charities. As a Green Places partner, we also track and offset our carbon emissions using high-quality, third-party verified offsets.