Analytics Engineer

Summary

Join Owner.com, a remote-first, global company building a scalable, modern Data Platform. As a GTM Analytics Engineer, you will play a key role in shaping the data landscape and driving data-driven decision-making across the organization, focusing on go-to-market solutions. You will be responsible for building SSOT models in DBT & Snowflake, maintaining robust data pipelines, and enhancing the data infrastructure to support analytics. This role is 100% remote and can be based anywhere in the United States or Canada.

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 the scratch
• Ability to build comprehensive end to end Data products (snowflake, DBT, Sigma)

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

Preferred Qualifications

• 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!

Benefits

• The estimated base salary range for this role is $160,000 to $180,000 for US-based roles, plus a generous equity pre-IPO equity package
• For salary ranges in other geo locations, please discuss with your recruiter
• Other benefits include comprehensive health coverage, work from anywhere (100% remote workplace), unlimited PTO - plus extra fun perks!