Data Analytics Engineer

Harrison Clarke; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Harrison Clarke, 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. This net-new role sits between analytics and data engineering, building the data foundation and reporting layer to drive growth for publishers and advertisers.

You’ll design data models, standardize KPIs like CPC/CPA/CPM, and own BI dashboards while collaborating with a hands-on data leadership team in a lean, high-impact environment.

Qualifications

• 3+ years as a Data Analyst or Analytics Engineer in SaaS or high-growth tech.
• Genuine data modeling on OLAP databases (ClickHouse, Redshift, BigQuery, Snowflake).
• Strong dbt experience with staging/intermediate/mart models and semantic layer.
• Hands-on BI/dashboarding with one or more tools (Metabase, Looker, Tableau, Sigma, Mode).

Responsibilities

• Design and build OLAP data models and transformation layers for reporting.
• Standardize KPIs and key metrics into a trusted single source of truth.
• Build and own BI dashboards; run deep-dive analyses to surface insights.
• Monitor data flows, quality, and instrumentation with the engineering team.

Skills

Data modeling

dbt

BI dashboards

Data storytelling

Communication

Tools

ClickHouse

Redshift

BigQuery

Snowflake

Metabase

Looker

Tableau

Sigma

Mode

Job description

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.
• Genuine data modeling on an OLAP / columnar database (ClickHouse, Redshift, BigQuery, Snowflake) — you understand how these databases actually work: partitioning, aggregation design, query performance.
• 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.
• A selective, considered hire at a lean, fast-moving company.