Beehive Industries
Beehive Industries is dedicated to Powering American Defense by revolutionizing the design, development, and delivery of jet propulsion systems to support the warfighter. Through the integration of additive manufacturing, the company aims to meet the growing and urgent needs for unmanned aerial defense by dramatically improving a jet engine’s speed to market, fuel efficiency, and cost.
Founded in 2020, the company is headquartered in Englewood, Colorado, with additional facilities in Knoxville, Tennessee, Loveland Ohio, and Mount Vernon, Ohio. Beehive is committed to growing and advancing the defense industrial base while manufacturing exclusively in the USA. This role will be located at our Loveland, Ohio facility.
Role Overview We are seeking a highly skilled Data Analytics Leader to drive advanced analytical insights, partner with cross‑functional teams, and help shape the digital foundation of our aerospace manufacturing operations. This is an individual contributor role with strong influence—ideal for someone who combines technical depth, business acumen, and the ability to translate analytics into operational impact.
You will work closely with engineering, operations, supply chain, and IT teams to build analytical products, enable data‑driven decision making, and support our growing ecosystem of tools—including Palantir Foundry and enterprise manufacturing systems.
What You’ll Do
Analytics Development & Delivery
Design, build, and deploy end‑to‑end analytics solutions that support manufacturing, supply chain, engineering, and enterprise operations
Develop robust data models, dashboards, and reports using Foundry Analytics, ensuring scalability, performance, and usability
Utilize Foundry to build data pipelines, logic workflows, transformations, and operational analytics applications
Identify and prioritise opportunities for analytics‑driven improvements across the value stream
Agile Execution & Product Mindset
Operate within an agile development environment, participating in sprint planning, backlog refinement, and iterative delivery of analytics features
Collaborate with product owners, engineers, and stakeholders to translate business needs into technical requirements
Continuously refine analytical products based on user feedback and changing business priorities
Data Management & Engineering Collaboration
Partner with data engineering / information system teams to define data requirements, source system needs, and architecture considerations
Ensure data quality, governance, lineage, and consistency across analytics and operational platforms
Contribute to the organization’s digital thread by connecting ERP, MES, PLM, and manufacturing datasets
Business Partnership & Influence
Serve as a strategic thought partner for operations, engineering, and leadership teams
Mentor and train Beehive employees on analytics and dashboards
Translate complex data insights into clear narratives, recommendations, and action plans
Advocate for data‑driven decision‑making across the organization and help mature analytics capabilities
You have
Bachelor’s degree in statistics, mathematics, computer science or related field
6+ years of applied data analytics, business intelligence, or related roles
Demonstrated experience building analytical products in Power BI (DAX, M, data modeling, automation)
Hands‑on experience with Palantir Foundry (OS/Code Workflows, Ontology integration, transforms, or logic apps)
Solid understanding of Agile development practices, including sprint execution and backlog management
Strong SQL proficiency and comfort working with large‑scale datasets
Ability to translate business questions into analytical solutions with measurable results
Strong communication and storytelling skills to influence senior leadership and technical peers without direct authority
The ability to obtain and maintain a U.S. government‑issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Nice to have
Background in aerospace engineering, flight systems, or manufacturing operations
Experience with digital thread ecosystems and integration into ERP/MES platforms
Experience with cost modeling, manufacturing process data, quality/nonconformance data, or supply chain analytics
Knowledge of statistical methods, predictive analytics, or machine learning concepts (hands‑on or conceptual)
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industry: Defense and Space Manufacturing
Beehive Industries offers a comprehensive benefits package that includes group Medical, Dental, Life, and Short and Long‑Term disability coverage from day one. We also offer a generous 401(k) Retirement Savings Plan with a Company match. Every role at Beehive Industries is bonus eligible, and will also receive equity in the company.
Referrals increase your chances of interviewing at Beehive Industries by 2x
Beehive Industries is committed to full compliance with applicable anti‑discrimination laws. We are an equal opportunity employer and value diversity at our company. We strive to create an inclusive work environment and will not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#J-18808-Ljbffr
Founded in 2020, the company is headquartered in Englewood, Colorado, with additional facilities in Knoxville, Tennessee, Loveland Ohio, and Mount Vernon, Ohio. Beehive is committed to growing and advancing the defense industrial base while manufacturing exclusively in the USA. This role will be located at our Loveland, Ohio facility.
Role Overview We are seeking a highly skilled Data Analytics Leader to drive advanced analytical insights, partner with cross‑functional teams, and help shape the digital foundation of our aerospace manufacturing operations. This is an individual contributor role with strong influence—ideal for someone who combines technical depth, business acumen, and the ability to translate analytics into operational impact.
You will work closely with engineering, operations, supply chain, and IT teams to build analytical products, enable data‑driven decision making, and support our growing ecosystem of tools—including Palantir Foundry and enterprise manufacturing systems.
What You’ll Do
Analytics Development & Delivery
Design, build, and deploy end‑to‑end analytics solutions that support manufacturing, supply chain, engineering, and enterprise operations
Develop robust data models, dashboards, and reports using Foundry Analytics, ensuring scalability, performance, and usability
Utilize Foundry to build data pipelines, logic workflows, transformations, and operational analytics applications
Identify and prioritise opportunities for analytics‑driven improvements across the value stream
Agile Execution & Product Mindset
Operate within an agile development environment, participating in sprint planning, backlog refinement, and iterative delivery of analytics features
Collaborate with product owners, engineers, and stakeholders to translate business needs into technical requirements
Continuously refine analytical products based on user feedback and changing business priorities
Data Management & Engineering Collaboration
Partner with data engineering / information system teams to define data requirements, source system needs, and architecture considerations
Ensure data quality, governance, lineage, and consistency across analytics and operational platforms
Contribute to the organization’s digital thread by connecting ERP, MES, PLM, and manufacturing datasets
Business Partnership & Influence
Serve as a strategic thought partner for operations, engineering, and leadership teams
Mentor and train Beehive employees on analytics and dashboards
Translate complex data insights into clear narratives, recommendations, and action plans
Advocate for data‑driven decision‑making across the organization and help mature analytics capabilities
You have
Bachelor’s degree in statistics, mathematics, computer science or related field
6+ years of applied data analytics, business intelligence, or related roles
Demonstrated experience building analytical products in Power BI (DAX, M, data modeling, automation)
Hands‑on experience with Palantir Foundry (OS/Code Workflows, Ontology integration, transforms, or logic apps)
Solid understanding of Agile development practices, including sprint execution and backlog management
Strong SQL proficiency and comfort working with large‑scale datasets
Ability to translate business questions into analytical solutions with measurable results
Strong communication and storytelling skills to influence senior leadership and technical peers without direct authority
The ability to obtain and maintain a U.S. government‑issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Nice to have
Background in aerospace engineering, flight systems, or manufacturing operations
Experience with digital thread ecosystems and integration into ERP/MES platforms
Experience with cost modeling, manufacturing process data, quality/nonconformance data, or supply chain analytics
Knowledge of statistical methods, predictive analytics, or machine learning concepts (hands‑on or conceptual)
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industry: Defense and Space Manufacturing
Beehive Industries offers a comprehensive benefits package that includes group Medical, Dental, Life, and Short and Long‑Term disability coverage from day one. We also offer a generous 401(k) Retirement Savings Plan with a Company match. Every role at Beehive Industries is bonus eligible, and will also receive equity in the company.
Referrals increase your chances of interviewing at Beehive Industries by 2x
Beehive Industries is committed to full compliance with applicable anti‑discrimination laws. We are an equal opportunity employer and value diversity at our company. We strive to create an inclusive work environment and will not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#J-18808-Ljbffr