Harrison Clarke
Data Analytics Engineer
Skills
2 days ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Remote
Published on:
22 October 2026
What they need
Data Analytics Engineer - Ad Network (Remote, US)
A fast-growing, fully remote SaaS platform in the creator/media space is hiring a Data Analytics Engineer to embed with its Ad Network team. We’re running this search exclusively.
This is a net-new, high-ownership role for someone who sits between analytics and data engineering. Your first job is to build the data foundation - designing the data models, standardizing KPIs, and building the reporting layer that helps the network grow for both publishers and advertisers. It’s a build-from-the-ground-up seat at a company still small enough for real impact, working closely with a hands-on data leadership team.
What you’ll do
- Design and build the data model for the ad network - fact tables, aggregation tables, and the transformation layer behind reporting and analysis.
- Standardize KPIs and business metrics (CPC, CPA, CPM and beyond) into a trusted single source of truth.
- Build and own BI dashboards, and run deep-dive, ad-hoc analyses to surface patterns and opportunities.
- Monitor data flows for anomalies and quality issues, and improve tracking and instrumentation with the engineering team.
What we’re looking for
- ~3+ years as a Data Analyst, Analytics Engineer, or similar at a SaaS or high-growth tech company.
- Excellent SQL — non-negotiable.
- Genuine data modeling on an OLAP / columnar database (ClickHouse, Redshift, BigQuery, Snowflake) — you understand how these databases actually work: partitioning, aggregation design, query performance. This is central to the role.
- Strong dbt (or equivalent) experience — designing your own staging/intermediate/mart models and a clean semantic layer.
- Hands-on BI/dashboarding (Metabase, Looker, Tableau, Sigma, Mode, or similar — tool skills transfer).
- A clear communicator who turns complex data into a clear narrative for technical and non-technical audiences.
Nice to have
- Some statistical/analytical modeling (the kind of analysis that, at some companies, sits under a data-science title).
- Python for analysis.
- Ad tech / ad network / marketing-analytics background (CPM/CPC/attribution).
- Entity resolution / identity-stitching experience (a later initiative on the roadmap).
Details
- Fully remote, US-based only , with reasonable overlap with US Eastern hours.
- Competitive base plus equity, depending on experience.
- A selective, considered hire at a lean, fast-moving company.
Interested? Apply with your resume and a line on your SQL depth, your data modeling experience (especially on OLAP/columnar databases), and any ad-tech exposure.
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