collaborate and partner with stakeholders, and decision-makers to prioritize, design, and fulfill their data analytics needs
identify KPIs driving business growth and performance and work closely with the business teams to define them
work across the data stack to design and build various data products (pipelines, data models, analysis) that enable the business to make data backed decisions
help garner trust in data from the business by documenting analytics best practices, assisting with data discoverability, governance, and accuracy
promote and drive a self-service data culture by building easy to use analytics products and teaching technical and non-technical users how to use them
communicate progress, risks, and completion of projects to stakeholders

3-5 years of hands-on experience in BI or Analytics teams.
experience with cloud data warehouse technologies (BigQuery is a plus)
driven by logical and analytical thinking to solve problems
hands-on experience in building and managing data transformations (dbt experience is a plus)
able to craft functional and user-friendly data products (data models, pipelines, etc..) for both technical and non-technical stakeholders
experience with a data visualization tool (ie. Looker, Tableau, Mode)
SQL power user, capable of complex, efficient, and logical SQL to accomplish data modeling goals
functional knowledge of financial, sales, or other core business metrics
able to manage professional relationships across a variety of stakeholders
able to identify and prioritize multiple requirements and manage expectations accordingly
collaborative and willing to traverse and contribute to the entire data stack, from front-end to back-end as needed

Data Engineer

Key skills