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Workplace Type: OnSite
Department: Engineering, Product, Design> Data & Research
Hadrian - Manufacturing the Future
Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
We’re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.
The Role:
As a Data Analyst, you will own the analytical foundation that the entire company runs on. Reporting to the Sr. Director of Data & IT, you will define what "certified data" means at Hadrian, build the forecasting models that drive planning decisions, and set the standards that let analytics scale across 20+ autonomous factories. This role sits at the intersection of every business function—Finance, Manufacturing Ops, Production Planning, Quality Engineering, and Sales—connecting financial models to factory floor reality.
What You'll Do
Architect and maintain the certified dataset layer in dbt—models, tests, documentation, and SLAs that the entire company trusts
Build forecasting models for demand planning, capacity utilization, delivery risk, and financial projections
Define metric standards: canonical definitions, calculation logic, ownership, and refresh cadence
Perform cross-functional deep dives connecting financial and operational data (e.g., margin erosion vs. throughput changes)
Build scalable reporting frameworks that work at 1 factory and 20
Develop anomaly detection for manufacturing KPIs—surface problems before ops does
Present findings to executives, ops leaders, and finance with appropriate precision
Mentor BizOps analysts and junior team members on SQL, statistics, and communication
Partner with Data Engineering on pipeline architecture, data contracts, and quality SLAs
What We're Looking For
Expert SQL including complex window functions, recursive CTEs, query plan analysis, and cost-based optimization
Deep dbt knowledge including advanced macros, custom tests, package development, and CI/CD integration
Experience with Snowflake and/or ClickHouse at scale
Python proficiency (pandas, numpy, scipy, statsmodels)
Statistical rigor: hypothesis testing, regression, time series, and experimental design
Ability to build, validate, and communicate forecast models with proper uncertainty quantification
Strong cross-functional communication—can translate between data and business with any audience
Bachelor's or Master's in Statistics, Mathematics, Operations Research, Economics, or equivalent
P3: 2–4 years | P4: 4–7 years | P5: 7+ years in analytics, data science, or quantitative roles
What Will Set You Apart
Experience building metric layers (Transform, MetricFlow, or custom)
ClickHouse optimization (materialized views, projections, TTL)
Bayesian methods or causal inference experience
Manufacturing-specific knowledge: SPC, control charts, process capability
Orchestration experience (Dagster, Airflow)
Background in OR, industrial engineering, logistics, supply chain, or quantitative finance
Compensation
For this role, the target salary range is $140,000-$175,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Benefits for Full-time Employees
Medical, dental, vision, and life insurance plans for employees
401k
Relocation support may be provided for certain situations, based on business need.
Flexible vacation policy
Equity
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here (https://www.pmddtc.state.gov/?id=ddtc_kb_article_page&sys_id=24d528fddbfc930044f9ff621f961987) .
Hadrian Is An Equal Opportunity Employer
It is the Company’s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.
Sprachkenntnisse
- English
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