Key skills
PythonSQLETLData EngineeringAnalyticsBISnowflakedbtSaaSSalesforceSales
About this role
Owner.com is building a scalable, modern Data Platform and is seeking a GTM Analytics Engineer to shape the data landscape across the organization. The role involves designing scalable data products, collaborating with stakeholders, and optimizing data pipelines to support analytics and data-driven decision-making.
Responsibilities:
- Design and implement scalable, efficient Data Products that drives business value within our GTM product. Examples include sales heatmap & overall efficiency; quotas & attainment; revenue attribution; marketing attribution; marketing spend efficiency; Reverse ETL from product to SFDC
- Collaborate with stakeholders and GTM data scientists to understand business requirements and translate them into clear, actionable data outputs through effective data modeling
- Improve time to insight by preparing SSOT data models as a core input for analysis in Sigma, our preferred BI tool
- Optimize data pipeline systems from a variety of sources, ensuring data is accurate, timely, and consistent, Sample tools: hubspot, salesforce, talkdesk, marketing platforms. Make sure our Product / backend systems have a proper linkage with GTM systems
- Improve GTM data quality, sharing data integrity guidelines, highlighting current issues, and collaborating with different stakeholders on implementation of proper fixes
Requirements:
- At least 5 years of experience in a data engineering or analytics engineering role
- Expert in SQL and DBT: strong track record of designing conceptual data models, developing comprehensive data tests, and establishing a clear, efficient single source of truth (SSOT)
- A proven track record of developing and managing marketing / sales / GTM analytics from scratch
- Ability to build comprehensive end to end Data products (snowflake, DBT, Sigma)
- Moderate Python experience would be considered an asset
- Highly organized, with an eye for precision and a love for keeping things tidy
- Experience with SaaS and/or startups is highly preferred
- Prior experience in the restaurant industry is a plus!