onsite
Reliability Data Analyst - Pinnacle
Data Analyst
Analyze and interpret reliability data to assess risk, develop insights, and support engineering decisions using Python, SQL, R, and Tableau.
About the role
Key Responsibilities
- Collect, clean, and organize reliability data from multiple engineering sources.
- Perform statistical analyses and risk assessments to identify failure patterns and root causes.
- Develop dashboards and visual reports in Tableau to communicate findings to cross‑functional teams.
- Apply reliability engineering principles and RAGAGEP guidelines to evaluate component and system performance.
- Provide actionable recommendations and predictive models to improve product reliability and reduce downtime.
Requirements
- Bachelor's degree in Engineering, Statistics, Data Science, or a related field.
- 3+ years of experience analyzing reliability or failure data in an engineering environment.
- Proficiency in Python, SQL, and R for data manipulation and statistical modeling.
- Strong experience building data visualizations and dashboards with Tableau.
- Solid understanding of reliability engineering concepts, risk assessment methods, and best‑practice standards such as RAGAGEP.