Analytics Engineer
| Company | Form Energy |
|---|---|
| Location | Cambridge, MA, USA, Pittsburgh, PA, USA, Berkeley, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level |
Requirements
- Minimum 3 years of professional experience as an analytics engineer, data engineer, data scientist, or other data professional
- Experience using BI and data visualization tools like Sigma, Grafana, Tableau, or Superset
- Strong SQL and Python skills; experience working with dbt and/or Spark desired
- Solid understanding of git and version control principles
Responsibilities
- Build, review, and optimize data models/transformations in our data platform using tools like dbt and/or Spark
- Work with our partner teams across Form to define and codify key business metrics
- Lead development of dashboards and coach others to create their own
- Manage how data stores interact with BI and analytics tools including Sigma, JMP, and Hex
- Work closely with other Software teams to ensure that data are consistent across sources upstream and data models
- Help to build a strong data culture at Form
- Act as a collaborative member of a distributed software engineering team
Preferred Qualifications
- Experience working in a manufacturing setting and familiarity with MES and SCADA systems is highly desired but not required