Anyone, anywhere in the world can apply.
The title specifies global hiring with no geographic restrictions, noting only an ideal preference for EST working hours.
Direct from the employer's own careers page
Who can apply
Read straight from the listing, so you know before you spend time on it.
Anyone, anywhere in the world can apply.
The title specifies global hiring with no geographic restrictions, noting only an ideal preference for EST working hours.
The team ideally prefers candidates who can work EST hours.
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- The company hosts an annual in-person team offsite.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
This hybrid role sits between a Product Data Analyst and an Analytics/Data Engineer who can own the Ad Network data stack. You will partner with business leadership and engineering to build data models, design KPIs, construct dashboards, and implement entity resolution and attribution logic to optimize network balance and performance.
What you'll do
- Partner with Product Managers and Business Leaders to define and track key ad network metrics and KPIs like CPC, CPA, and CPM.
- Own, build out, and maintain the ClickHouse data model and aggregation tables supporting reporting and ML.
- Proactively conduct deep-dive analyses to uncover pain points and recommend product roadmap tweaks.
- Build and maintain attribution logic and collaborate on a universal entity resolution system.
- Work with Machine Learning engineers on brand lift A/B testing studies and event tracking quality.
What you bring
- 3+ years of technical experience as a Data Analyst, Data Scientist, or Data Engineer.
- Strong proficiency in SQL and BI tools (such as Looker, Tableau, Mode, or Metabase).
- Experience using Python or R for statistical analysis and data modeling (e.g., clustering, regression).
- Familiarity with experimentation methodologies including A/B testing.
- Hands-on experience with database data modeling and SQL ETL pipelines.
About beehiiv
beehiiv is an all-in-one creator and newsletter platform powering media companies and independent voices with tools for publishing, growth, and monetization.
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