Senior Analytics Engineer: Build Scalable Data Models

Harnham; Columbus (OH); On-site; USD 150,000 - 200,000; Full time

Job summary

Harnham is partnering with a fast-growing, product-driven technology company to hire a Senior Analytics Engineer who will shape data modeling, transformation, and consumption across the business.

Join at the intersection of data engineering and analytics to deliver clean, scalable data models and empower stakeholders with self-serve analytics.

This role emphasizes data quality, governance, and modern tooling like dbt, SQL, and cloud data warehouses.

Qualifications

• 5+ years of experience in analytics or data engineering.
• Strong SQL skills and warehouse data modeling experience.
• Hands-on experience with dbt or similar transformation frameworks.
• Solid understanding of dimensional modeling and star schemas.
• Experience working with cross-functional stakeholders.
• Familiarity with Looker, Tableau, or similar BI tools.
• Focus on data quality, testing, and maintainability.

Responsibilities

• Design and build scalable data models powering analytics, reporting, and product insights.
• Transform raw data into high-quality, well-documented datasets using modern tooling.
• Partner with product, engineering, and business teams to define metrics and data needs.
• Improve data quality, testing, and governance across the analytics layer.
• Enable self-service analytics with clear datasets and documentation.
• Contribute to data architecture and best practices.

Skills

SQL

Data modeling

dbt

Cross-functional

BI tools

Data quality

Tools

Snowflake

BigQuery

Redshift

Job description

Harnham is partnering with a fast-growing, product-driven technology company to hire a Senior Analytics Engineer who will shape data modeling, transformation, and consumption across the business.

Join at the intersection of data engineering and analytics to deliver clean, scalable data models and empower stakeholders with self-serve analytics.

This role emphasizes data quality, governance, and modern tooling like dbt, SQL, and cloud data warehouses.