Drive the evolution of sales analytics by creating reliable, scalable data systems that fuel strategic growth. In this role, you'll partner with revenue teams to understand operational needs and translate them into technical solutions that improve visibility and efficiency across the customer lifecycle.
What You'll Do
- Collaborate with stakeholders across the revenue organization to define requirements and deliver data products that streamline decision-making
- Design and manage end-to-end data pipelines, reducing manual processes through automation and scalable architecture
- Transform raw data into structured, business-ready models by embedding logic and consistency into foundational tables
- Develop and maintain interactive dashboards that adapt to evolving reporting needs
- Ensure data integrity by identifying inconsistencies, documenting logic, and enforcing standardized definitions
- Work closely with data teams to govern key metrics and promote alignment across departments
Requirements
- Background in Engineering, Computer Science, or a related technical field
- 7+ years of experience in analytics engineering, business intelligence, or technical data roles
- Proficiency in SQL and optimizing ETL processes within cloud data warehouses such as Redshift or Snowflake
- Hands-on experience with version control (git) and command-line tools
- Proven track record with data orchestration platforms like Airflow and modeling frameworks such as dbt
- Familiarity with visualization tools including Tableau, Looker, Sigma, Mode, or Hex
- Experience using Python for data ingestion and pipeline development
- Strong problem-solving skills, with the ability to manage complex dependencies and deliver on timelines
- Attention to detail in validating data accuracy and communicating technical insights
Benefits
- Competitive base salary
- Equity compensation in the form of RSUs for full-time roles
- Support for developing fluency in AI technologies
- Inclusive workplace culture aligned with the communities served
