Data Analytics Leader

Beehive Industries•Loveland, OH

About The Position

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.

Requirements

Bachelors 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 Haves

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).

Responsibilities

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 prioritize opportunities for analytics-driven improvements across the value stream.
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.
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.
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.

Benefits

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.

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