Welcome to the intersection of energy and home services. At NRG, we’re driven by our passion to create a smarter, cleaner and more connected future.
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.
Job Functions:
Position requires in-office presence in Seattle, WA on a hybrid schedule for Monday, Tuesday, Wednesday, and Thursday with a work from home day on Friday. The position will start remote and then will move into the hybrid schedule.
Summary
Vivint Smart Home is hiring a Senior Business Intelligence Engineer to join the central analytics team within our product organization. This role is responsible for building and maintaining the data infrastructure that powers how the product organization measures, understands, and improves our business. You will own the design, development, and reliability of the core data pipelines, models, and metrics layer that our dashboards, analyses, and product decisions depend on.
This role sits at the center of the product, engineering, and data ecosystem. You will work closely with engineering teams to define instrumentation, transform raw and unstructured data into reliable, well-modeled datasets, and ensure that data is trustworthy at scale. You will also partner with analysts, product managers, and business leaders to translate their reporting and analytical needs into scalable data structures. This is a role for someone who is comfortable working in ambiguity, can independently drive a data solution from problem definition through production, and takes ownership for the quality and reliability of their work.
What You'll Do
- You will own the design, development, and maintenance of the core data pipelines and warehouse models that power reporting and analytics across the product organization, ensuring data is reliable, well documented, and consistently used.
- You will partner with engineering to define and validate instrumentation and event tracking, ensuring raw data is captured accurately and lands reliably in our data systems.
- You will build and optimize data models that turn unstructured and disparate data into clean, reusable datasets that can support reporting and analysis at scale.
- You will own data quality end-to-end, including validation, monitoring, and alerting to catch pipeline failures or anomalies before they reach stakeholders.
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