Form Energy

Senior Data Analytics Engineer, Factory Software

Form Energy$90K — $130K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in data analysis coding
  • Proficiency in SQL and Python
  • Strong communication skills for technical discussions
  • Ability to work independently and prioritize tasks
  • Bachelor's Degree in Computer Science or related field
  • Experience in manufacturing or logistics environments is preferred
  • Familiarity with Jira is a plus

Responsibilities

  • Design and maintain automated reporting and dashboards for factory performance
  • Own the Business Intelligence space for factory data insights
  • Collaborate with Factory teams to translate business needs into data solutions
  • Optimize data models using SQL and Python for efficient reporting
  • Establish data quality standards and documentation across manufacturing
  • Improve data accessibility and train users on self-service BI tools
  • Liaise between end-users and software teams for data system enhancement

Benefits

  • 100% coverage of medical, dental, and vision premiums for employees
  • 80% coverage of healthcare premiums for dependents
  • At least 12 weeks of paid parental leave
  • Generous vacation policies for work-life balance
  • Competitive salaries and stock options
Full Job Description
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.

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

This role is based at Form Factory 1 in Weirton, WV-an easy commute from the city of Pittsburgh, PA. This 550,000-square-foot facility is our hub for high-volume battery production and a leader in the new era of American energy manufacturing. Relocation assistance is available.

#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.

About Form Energy

Form Energy is an American energy storage technology and manufacturing company that is developing and commercializing a pioneering iron-air battery capable of storing electricity for 100 hours at system costs competitive with legacy power plants. Form’s multi-day battery will reform the global electricity system to reliably run on 100% low-cost renewable energy, every day of the year. Form Energy was founded by energy storage veterans who came together in 2017 with a unified mission to reshape the global electric system by creating a new class of low-cost multi-day energy storage systems. Driven every day by Form’s interlocking core values of humanity, excellence, and creativity, our team is deeply motivated and inspired to transform the energy landscape and create a better world.
Learn more about Form Energy
Size
50 employees
Industry
Founded
2017

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