PMO Data Analyst

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

We are seeking a highly analytical and detail-oriented Data Analyst to support our Program Management Office (PMO) and New Product Introduction (NPI) initiatives. This role is critical to driving data-informed decisions across product lifecycle stages, from concept to launch. You will work cross-functionally with engineering, supply chain, quality, and product teams to ensure data integrity, visibility, and actionable insights that accelerate innovation and operational excellence.

What you will be doing

• Analyze and interpret complex datasets related to product development, configuration management, and lifecycle performance
• Develop dashboards and reports using Excel, Incorta, and other visualization tools to support PMO and NPI decision-making
• Collaborate with cross-functional teams to identify data gaps, streamline workflows, and improve reporting accuracy
• Automate repetitive reporting tasks using Excel VBA, Python, or other scripting tools

Who you are and What you bring

• Bachelor’s degree in Data Science, Engineering, Business Analytics, or related field
• 5+ years of experience in data analytics, preferably in a product development or manufacturing environment
• Advanced proficiency in Excel (pivot tables, dashboards, formulas) and Power BI
• Programming skills such as Python, SQL, or R for data manipulation and automation
• Strong understanding of New Product Introduction (NPI) processes and product lifecycle management
• Excellent communication skills with the ability to translate data into actionable insights for technical and non-technical stakeholders
• Detail-oriented with a proactive approach to problem-solving and continuous improvement

Preferred Qualifications

• Exposure to Agile methodologies and project management tools (e.g., JIRA, Confluence)
• Certification in Data Analytics, Six Sigma, or related fields is a plus