Job Description

At Ndustrial, were 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, weve grown from three to 50+ employees in Raleigh and beyond. With a team of forward-thinkers and problem-solvers, were 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:

1. Conduct statistical modeling on large datasets to identify patterns, trends, and correlations; apply statistical techniques to large datasets. (20%)
2. Develop predictive models and algorithms to optimize energy consumption and improve energy efficiency. (20%)
3. Perform data extraction, cleaning, and transformation to prepare datasets for machine learning and statistical analysis. (15%)
4. Work closely with product managers and customer success teams to analyze and refine data models and visualizations. (10%)
5. Collaborate with software engineers to implement and deploy data-driven solutions. (15%)
6. Engage with customers to understand data needs, generate insights, and develop new data solutions. (10%)
7. Present technical findings and recommendations to internal stakeholders and customers. (5%)
8. Work with machine learning models, statistical programming, and cloud-based data solutions (AWS, Azure). (5%)

Minimum Qualifications:

• Masters degree in Information Management, Management and Data Analytics, Data Science, or a related field.
• Two (2) years of related experience as a Business Analyst or in a similar role.
• Experience with applying statistical modeling and machine learning techniques to analyze large datasets, identify trends, and support data-driven decision-making in optimization and forecasting.
• Proven ability to develop and implement predictive models and algorithms to improve energy efficiency and operational performance.
• Experience with data extraction, cleaning, and transformation using SQL and Python.
• Experience collaborating with cross-functional teams to refine data models, create visualizations, and deploy data solutions.
• Proficiency with cloud-based data solutions (AWS and Azure) and statistical programming.

Additional Details:

• Work from home up to 50%.
• Must reside in the metro area of Raleigh, NC.

Benefits include flexible PTO, comprehensive medical/dental/vision insurance with employee premiums covered, professional development stipend, commuter benefits, peer recognition rewards, 401K with matching, equity options, weekly catered lunches, flexible hybrid work environment, modern office in Downtown Raleigh, a dog-friendly office, and community engagement through charitable efforts and carbon offset initiatives.

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