Senior Analytics Engineer

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

We're partnering with a fast-growing, product-driven technology company that is building a modern, data-first organization. They’re looking for a Senior Analytics Engineer to play a critical role in shaping how data is modeled, transformed, and consumed across the business.

This is an opportunity to work at the intersection of data engineering and analytics, helping stakeholders make smarter, faster decisions by delivering clean, scalable, and reliable data models.

What You’ll Do

• Design and build scalable data models that power analytics, reporting, and product insights
• Transform raw data into high-quality, well-documented datasets using modern tooling (e.g., dbt, SQL, cloud warehouses)
• Partner with product, engineering, and business teams to define key metrics and data requirements
• Improve data quality, testing, and governance across the analytics layer
• Enable self-service analytics by creating clear, intuitive datasets and documentation
• Contribute to the overall data architecture and best practices

What We’re Looking For

• 5+ years of experience in analytics engineering, data engineering, or a related field
• Strong SQL skills and experience building data models in a modern warehouse (Snowflake, BigQuery, Redshift, etc.)
• Hands-on experience with dbt or similar transformation frameworks
• Strong understanding of data modeling concepts (dimensional modeling, star schemas, etc.)
• Experience working closely with cross-functional stakeholders
• Familiarity with BI tools (Looker, Tableau, or similar)
• A strong focus on data quality, testing, and maintainability

Nice to Have

• Experience with Python or other scripting languages
• Exposure to event-based data or product analytics
• Experience in high-growth or startup environments

Why Join?

• High-impact role with real ownership over the analytics layer
• Competitive compensation: $150K–$200K base + equity
• Opportunity to shape the future of data within a scaling organization

If you're excited about building clean data models, enabling better decision-making, and working in a high-growth environment — this is a great opportunity to step into a highly visible role.

Feel free to reach out directly or apply here to learn more.