Data Analyst (Central Analytics)

Data Analyst (Central Analytics) 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 poste ... (truncated, view full listing at source)