Data Analyst Intern

Welcome to the intersection of energy and home services. At NRG, we’re driven by the idea of a smarter, cleaner, more connected future—and the possibilities that will bring to the world and to the 7.3 million customers we serve. 

Vivint Smart Home, an NRG-owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes. More information is available at www.nrg.com or www.vivint.com. Connect with NRG and Vivint on Facebook, Instagram, LinkedIn and X. 

Summary: 

The Product Analytics team at Vivint partners with stakeholders across the organization to provide meaningful insight into our products and our customers. We are in an exciting space as we try to understand how people interact with their homes from security and sensors to lighting and computer vision our team reaches across the organization to provide understanding and insights.

As a data analyst on the Product Analytics team, you’ll have a meaningful impact on both Vivint and our customers. You’ll have access to exciting challenges and data and one one-on-one mentorship from top-tier data scientists.

What You’ll Do: 

In this role, you will help drive Vivint’s product roadmap by providing valuable insight into our customers and our products. You will work with a talented team of data scientists and engineers to:

• Help analyze and understand an ever-increasing stream of IoT data. 
• Partner with product teams to understand how our customers engage with our products
• Develop datasets that help product leaders gain new insights into our products. 
• Help define and develop our self-service roadmap. I.e., how do we get data into more people’s hands? 
• Help visualize and communicate insights across the organization.

Required Skills:  

• Experience with Data Visualization (Tableau, PowerBI, Superset, Matplotlib, ggplot, etc) 
• Experience with SQL 
• Experience solving analytical business problems using data and statistics
• Experience with R, Python, or other programming languages
• Experience bringing in data from multiple Data Sources / APIs
• Strong analytical skills, organization skills, and attention to detail

Nice to Have 

• Experience with data science and machine learning is a plus 
• Experience bringing in data from multiple Data Sources / APIs 
• Experience working with distributed data i.e. Hadoop, Hive & Spark
• Experience working with IOT data. 

Required Education/Experience: 

• Currently pursuing a BS/MS in Statistics, Data Science, Mathematics, Engineering or other quantitative field

Here are some highlighted perks you should ask us about:  

• Free daily lunch and drinks on-site 
• Paid holidays and flexible paid time away 
• Employee/Friends/Family Discounts 
• Onsite health clinic, gym, gaming tables 
• Medical/dental/vision/life coverage & 24/7 Medical Hotline 
• 401(k) + Employer Match 
• Employee Resource Groups 

WORKING CONDITIONS:   

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. 

SAFETY: 

We enforce a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment.  Each new employee is responsible for completing all training requirements.  Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public.  Employee must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues. 

If you are an active Vivint employee, please apply through Workday by searching “Find Jobs”. 

If you are an active Vivint employee, please apply through Workday by searching “Find Jobs”.