Growth-Focused BI Analyst - Python, ML & Looker

GrowthTech Inc; Lake Charles (LA); On-site; USD 75,000 - 106,000; Full time

Benefits offered by this job

Full benefits

Learning time

Job summary

GrowthTech Inc in Lake Charles, LA is hiring a full-time Business Intelligence Analyst. The role pairs a salary of $75,000–$106,000 with ownership, collaboration, and a long-term growth track.

Expect work across Python services, Hugging Face features, and data-driven decisions to boost LA retention. You’ll contribute to CI/CD, distributed systems, and model deployment, with learning time weekly to master new R and XGBoost tools.

Qualifications

• Fluency across Looker and R with strong opinions on both.
• Willingness to commute to Lake Charles, LA or work flexibly as needed.
• Demonstrated ability to manage competing priorities under tight deadlines.
• Familiarity with the rhythms of a results-oriented full-time team.
• Growth mindset and openness to constructive feedback.

Responsibilities

• Trace a sharp-but-gentle technology bug across three Python services to the one bad line.
• Build the flexible Hugging Face feature that wins back LA accounts GrowthTech Inc lost.
• Cut Hugging Face cold-start times so GrowthTech Inc functions wake before LA users notice.
• Maintain and improve CI/CD infrastructure across LA engineering teams.
• Land Customer Service performance wins GrowthTech Inc can measure in LA retention numbers.
• Architect fault-tolerant distributed systems leveraging Jupyter and Python.
• Trace a technology number back through NumPy services until it finally adds up.
• Wire XGBoost APIs to Model Deployment consumers so data lands where Lake Charles teams expect it.

Skills

Python

R

Looker

Hugging Face

NumPy

Jupyter

XGBoost

Tools

CI/CD tooling

Job description

GrowthTech Inc in Lake Charles, LA is hiring a full-time Business Intelligence Analyst. The role pairs a salary of $75,000–$106,000 with ownership, collaboration, and a long-term growth track.

Expect work across Python services, Hugging Face features, and data-driven decisions to boost LA retention. You’ll contribute to CI/CD, distributed systems, and model deployment, with learning time weekly to master new R and XGBoost tools.