Data Analyst, Finance

Sunnova Energy is hiring a Data Analyst, Finance in Houston, TX, to enhance efficiencies in their Finance organization through data analytics, dashboards, and reporting. The role involves analyzing data from over 225,000 solar and storage customers to drive insights and improve processes. Candidates should possess technical skills in data, design capabilities, and effective communication with stakeholders. This is a full-time position with no degree requirement.
Brief Description of Sunnova

Sunnova (NYSE: NOVA) is an industry-leading adaptive energy services company focused on making clean energy more accessible, reliable, and affordable for homeowners and businesses.

At Sunnova, we embrace diverse perspectives, vibrant creativity and forward-thinkers who share our zeal for a sustainable future. A career with us means pushing beyond traditional limits, exploring new horizons, collaborating with like-minded peers, and transforming the energy industry for the better.

If you're excited about being a part of the fastest-growing segment of the energy industry, we encourage you to apply!

The Data Analyst, Finance Position
Sunnova Energy is searching for Data Analyst, Finance to be responsible for creating efficiencies within the Finance organization by functionally designing and developing data analytics, dashboards, and reporting for finance transformation, in support of Sunnova’s ongoing expansion and scale. The primary objective of the Data Analyst will be analyzing, drawing insights from, and making predictions using data generated from Sunnova’s over 225 thousand unique solar and storage customer relationships. An ideal candidate will have technical skill with data and programs, process and design savvy to help internal customers define their needs, and soft skills to work with stakeholders on how to use what they have built. Success will be measured by driving continuous improvement across the Finance and Accounting organization to achieve greater efficiencies and scalability by designing and creating data analytics or other automation to reduce manual processes and produce faster results.

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