Analytics Engineer
Gridwise is seeking to bring on a highly motivated and versatile Analytics Engineer to join our Gridwise Analytics team to help grow our data product and contribute to the continued innovation of our market-leading analytics platform capabilities. You will be responsible for the implementation and delivery of new analytics features and tools for our Gridwise Analytics product as well as collaborate cross functionally to analyze and derive unique insights on gig mobility and geolocation datasets.
Responsibilities include:
- Collaborate within the Gridwise Analytics product and engineering team to define and standardize our analytics data models and expand insights capabilities
- Build and maintain manual and automated data distribution systems for the Gridwise Analytics product
- Own and optimize business intelligence and data visualization tools
- Test, monitor, and report on data health and data quality
- Conduct exploratory data analysis and data anomaly investigations, and communicate findings clearly both verbally and in writing to a broad range of stakeholders
- Lead the charge on data documentation and data discovery initiatives
Qualifications we're looking for:
- 3+ years of experience working on a software engineering or analytics team
- Strong proficiency in Python
- Strong proficiency in SQL and best practices for query optimization
- Strong proficiency in designing and maintaining data models that support analytics and other data-driven activities
- Strong proficiency with business intelligence tools (e.g. Looker)
- Experience working with data transformation tools such as dbt or Dataform
- Experience with software monitoring and alerting tools (e.g. Grafana)
- Experience deploying production cloud resources on GCP, AWS, etc.
- Strong attention to detail with a propensity for clean and well structured code