Data Analyst (Central Analytics)

Hadrian Automation • Los Angeles, CA

2d • $140,000 - $175,000

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees