Senior Data Analyst

Description

Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with our revolutionary microinverter technology, which turns sunlight into a safe, reliable, resilient, and scalable source of energy to power our lives. Today, the Enphase Energy System helps people make, use, save, and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world, with approximately 68 million products installed across more than 145 countries.

We are building teams that are designing, developing, and manufacturing next-generation energy technologies and our work environment is fast-paced, fun and full of exciting new projects.

If you are passionate about advancing a more sustainable future, this is the perfect time to join Enphase!

About The Role

The Senior 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 do:

• Functions 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
• Identifies 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
• 7 to 10 years’ experience in a technical role
• Design, develop and implement data-driven strategies and machine learning models
• Ability to interpret and summarize presentations for executives
• Able to understand various data structures and common methods in data transformation
• Expertise in programming/query languages such as Python/R/SQL
• Expertise in Matplotlib, Plotly libraries
• Expertise in delivering analysis results using custom made visualizations