Data Analytics Engineer
dv01Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should have 5+ years of experience as an Analytics Engineer, BI Engineer, or Data Analyst, with proven expertise in SQL, dbt, and Git. Experience with modern BI solutions like Sigma and RevTech stack technologies such as Salesforce and Gainsight is required, along with a strong understanding of data modeling best practices and experience with AI tools for workflow optimization.
The Analytics Engineer will lead the definition, building, and ownership of end-to-end analytical solutions, including data modeling, pipeline development, and dashboard creation. They will leverage an Analytics-as-Code mindset with Redshift, dbt, and Git to deliver scalable data pipelines and trusted metrics. Responsibilities also include designing impactful dashboards in Sigma, owning data products end-to-end to establish single sources of truth, and expanding self-service data adoption across the company.
License plate reader cameras for crime prevention
Flock Safety provides a system aimed at enhancing public safety through crime prevention while ensuring privacy and reducing bias. The main product is a network of license plate reader cameras that capture essential vehicle information, which helps in solving crimes. These cameras utilize machine learning technology to ensure that the data collected is objective and ethically used. Flock Safety serves a variety of clients, including neighborhoods, businesses, and law enforcement agencies in over 1,000 cities. The company operates on a subscription model, where clients pay for the installation, maintenance, and access to data and analytics. This approach not only generates a steady revenue stream but also allows clients to benefit from ongoing updates and support. Flock Safety's goal is to create safer communities by providing effective crime prevention tools that respect individual privacy and foster trust between the public and law enforcement.