Senior Data Analyst - Tires Insights & ML Visualizations

Revvo,; San Mateo (CA); On-site; USD 52,227 - 70,659; Full time

Job summary

Revvo Technologies, Inc. seeks a Senior Data Analyst to write scripts and queries for data analysis projects using statistical and machine learning models. You will present results with visualizations, explore hypotheses about tire operations, and identify anomalies to share as insights with customers.

You will troubleshoot data systems, implement improvements for tire data analysis, and communicate findings to internal teams and customers while collaborating with customer success and sales.

Qualifications

• Master's degree in Statistics or related field, plus 6 months of experience.
• Proficient in Python, R, Git, GitHub, Pandas, Seaborn, Jupyter Notebooks, PostgreSQL, and unit testing.
• Experience with data analysis, statistical modeling, and ML concepts.

Responsibilities

• Write scripts and queries for data analysis projects with statistical and ML models.
• Present results with visualizations highlighting key insights.
• Create hypotheses to help customers understand tire operations.
• Identify anomalies to share with customers as insights.
• Troubleshoot and ensure correct configurations of data analysis systems.
• Design and implement improvements to systems for tire data analysis.
• Analyze and compare customer usage data and feedback.
• Share information about customer usage with customer success and sales teams.
• Document and explain the system and its interactions to internal teams and customers.

Skills

Python

R

Git

GitHub

Pandas

Seaborn

Jupyter Notebooks

PostgreSQL

Unit testing

Education

Master's degree in Statistics or related field

Job description

Revvo Technologies, Inc. seeks a Senior Data Analyst to write scripts and queries for data analysis projects using statistical and machine learning models. You will present results with visualizations, explore hypotheses about tire operations, and identify anomalies to share as insights with customers.

You will troubleshoot data systems, implement improvements for tire data analysis, and communicate findings to internal teams and customers while collaborating with customer success and sales.