Senior Analytics Engineer & AI Platform Lead

Fractal

California (MO)

On-site

USD 125,000 - 165,000

Full time

14 days+

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Job summary

Fractal, a leading analytics partner for Fortune 500 companies, seeks a Senior Analytics Engineer & AI Developer to drive data foundations, AI-powered agents, and rigorous analytics across product growth and user engagement. You will lead data migrations, optimize schemas, and implement governance for scalable, trustworthy insights.

Join a high-ownership, client-facing role that blends Data Engineering, Business Analytics, and AI-native development to transform BI into an AI-augmented

Qualifications

  • 5+ years in Data Engineering, Analytics Engineering, or Advanced BI.
  • Expert-level SQL with partitioning, clustering, indexing, cost optimization.
  • Designing star-schema/snowflake data marts and automated ETL pipelines.
  • Proficient in Python (Pandas, PySpark) or R.
  • Experience leading RCA analyses for core business metrics in consumer tech, ecommerce, or mobile apps.
  • Independent execution on complex, end-to-end engineering migrations.

Responsibilities

  • Design governed data foundations and unified semantic layers.
  • Build production-grade conversational AI agents and LLM-assisted tools.
  • Migrate data from legacy databases to optimized infrastructures with minimal downtime.
  • Automate RCA frameworks to diagnose metric drivers and trends.
  • Consolidate dashboards and reduce output table fragmentation.
  • Implement AI-native skills and governance around data access and queries.

Skills

SQL proficiency
Data engineering
Python/PySpark
R
RCA analysis
Independent execution

Tools

BigQuery
Google Cloud

Job description

Fractal, a leading analytics partner for Fortune 500 companies, seeks a Senior Analytics Engineer & AI Developer to drive data foundations, AI-powered agents, and rigorous analytics across product growth and user engagement. You will lead data migrations, optimize schemas, and implement governance for scalable, trustworthy insights.

Join a high-ownership, client-facing role that blends Data Engineering, Business Analytics, and AI-native development to transform BI into an AI-augmented

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