Analytics Engineer, GTM

Salary

$160,000 to $180,000

Location

Remote - United States or Canada

We are building a scalable, modern Data Platform at Owner.com. As a GTM Analytics Engineer, you will play a pivotal role in shaping the data landscape and driving the strategic use of data across the organization, with a focus on go-to-market solutions. You will be instrumental in building SSOT models in DBT & Snowflake, maintaining robust, scalable data pipelines, and enhancing our data infrastructure to support analytics and data-driven decision-making.

💥 The impact you will have

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.

🤝 Who you’ll work with

This role reports to our Director of Data Analytics, Piotr Rosiak.
You will partner with data scientists, business analysts, and key stakeholders from related teams such as Rev-Ops, Sales, Marketing, Product, Finance.

✅ What we’re looking for

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).
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!

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