Senior Data Analytics Engineer, Factory Software

Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form! 

In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia.

Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing -  might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better.

Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place.

Role Description

The Factory Software team is seeking a Data Analytics Engineer to bridge the gap between complex manufacturing data and actionable insights. In this role, you will be responsible for the development and ownership of the reporting, dashboards, and Business Intelligence (BI) infrastructure that powers our factory operations. You will function as a key partner to our Factory teams, ensuring they have the high-quality, real-time data needed to optimize production and ensure manufacturing excellence. You will collaborate closely with Factory Software Dev, Data Engineering and Platform teams to leverage our on-prem and cloud infrastructure, building scalable solutions that enable a data-driven culture on the factory floor.

This opportunity is based out of Form Factory 1 – Form Energy’s 550,000-square-foot, state-of-the-art manufacturing facility located in Weirton, WV, a commutable distance from Pittsburgh. Purpose-built for high-volume, advanced battery production, Form Factory 1 is a hub of fast-moving, collaborative work driving a new era of large-scale American energy manufacturing in the heart of the Rust Belt.

Relocation assistance is available.

What you'll do:

• Design, develop, and maintain automated reporting and interactive dashboards to provide critical visibility into factory performance and operational metrics.

• Own the Business Intelligence (BI) space for the Factory Software team, acting as the primary point of contact for data requests and insights from factory stakeholders.

• Collaborate with Factory teams to understand their workflows and translate complex business requirements into technical data solutions and visualizations.

• Build and optimize data models and transformations (e.g., using SQL and Python) to ensure factory data is structured for efficient reporting and analysis.

• Establish and maintain standards for data quality, documentation, and dashboard performance to ensure "one version of the truth" across the manufacturing organization.

• Proactively seek opportunities to improve data accessibility and provide technical support/training to internal users on self-service BI tools.

• Liaise between manufacturing end-users and the broader Software team to drive the continuous improvement of our data systems and infrastructure.

What you'll bring:

• 4+ years industry experience writing reusable code for data analysis

• Experience using SQL and Python in a collaborative environment

• Experience with exploratory and explanatory analysis of data from physical systems

• Must have strong communication skills, both written and verbal, capable of relaying technical information to non-technical stakeholders

• Must be able to work independently with excellent time management, multi-tasking and the ability to assess and prioritize competing demands

• Bachelor's Degree in related field Computer Science, Data Engineering or equivalent work experience

• Experience in a manufacturing, warehouse or logistics environment working with software systems and end-users to support production operations is highly desirable

• Experience collaborating with a variety of stakeholders (e.g. Engineering, Operations, and Software)

• Experience with Jira is a plus

• Desire to learn and grow professionally in a fast-paced, startup environment

#LI-Onsite

Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. 

When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. 

To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs.

If you may require reasonable accommodations to participate in our interview process, please contact [email protected]. Requests for accommodations will be treated with discretion.

Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.