Staff Data Analyst

Description

Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. Today, the Enphase Energy System enables users to make, use, save, and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world, with more than 80 million products shipped across 160 countries.

Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future!

This role at Enphase requires working onsite 3 days a week, with plans to transition back to a full 5 day in office schedule over time.

About The Role

The Staff Data Analyst will be responsible for analyzing and interpreting product quality data through the entire product lifecycle. Provides essential support for the data management activities of the Quality organization. Collaborates with Engineering /CS teams and Information Technology.

What You Will Be Doing

• Function as a resource to departments and process improvement teams in the areas of quality data management
• Work with stakeholders throughout the Quality organization to identify opportunities for leveraging company data to drive product/process improvements
• Work with cross functional teams to understand their needs and run query to support their analyses
• Develop deep knowledge of the dataset and able to drill down and wide
• Run SQL/R/Python queries on various databases to identify patterns and diagnose problems
• Identify opportunities for automation, monitoring and visualization using automated tools
  
  
  

Who You Are And What You Bring

• BE/B.Tech degree or higher in Engineering, or Computer Science
• 8+ year's experience in data science required
• Expertise in programming/query languages such as Python (Matplotlib, Plotly libraries)/R/SQL
• Design, develop and implement data-driven strategies and machine learning models
• Able to understand various data structures and common methods in data transformation
• Expertise in delivering analysis results using custom made visualizations
• Ability to interpret and summarize presentations for executives
• Strong verbal and written communication skills required