Analytics Engineer

• Building, maintaining, and optimizing data warehouses and data marts that provide reliable, high-quality data for analytics and reporting.
• Designing, developing, and supporting scalable data pipelines and ETL/ELT processes using modern data engineering tools and technologies.
• Developing and maintaining trusted dashboards, reports, and key business metrics that serve as the single source of truth for stakeholders.
• Monitoring and improving data quality by implementing validation, testing, and monitoring processes to ensure accuracy, consistency, and reliability.
• Collaborating with technical and non-technical teams to deliver data products that support informed decision-making.
• Building and maintaining expertise in core business data and analytical models to provide accurate insights and recommendations.
• Documenting data models, business logic, and processes to promote transparency, consistency, and long-term usability.
• Recommending and implementing best practices for data modeling, analytics engineering, and data governance across the organization.

• You have 4+ years of experience building data pipelines and data warehouses, with hands-on skill in Python, SQL, and ETL/ELT development.
• You’ve worked with tools like dbt and cloud data warehouses such as AWS Redshift, and you pick up new tools fast when you haven’t.
• You’d rather be heads down building a data product that solves a real business problem than sitting in meetings talking about it.
• You’re self-sufficient and intellectually curious, the kind of person who digs into a hard, ambiguous problem instead of waiting to be told what to do.
• You enjoy teaching and mentoring others, and you’re just as comfortable explaining a data model to a teammate as you are building it.
• You care about driving results, and you know how to turn that drive into shipped work your team can count on.

Pulled from the full job description

• 401(k) 4% Match
• Health insurance
• 401(k) matching
• Health savings account
• Flexible spending account
• Relocation assistance
• Profit sharing, * Health insurance (includes plans eligible for an HSA-with a company match up to $500!)
• 401(k) retirement plan with 4% match/company contribution
• Annual wellness, counseling and grocery membership reimbursement
• On-campus cafe with subsidized pricing for breakfast, lunch and coffee bar
• Dependent care FSA
• Tons of cultural activities, like weekly devotional, leadership development courses, Battle of the Bands, and one epic Christmas party!

Where and How You’d Work: Ramsey Solutions Headquarters is located just outside of Nashville in Franklin, Tennessee. We value our strong, unified company culture because we believe the best work is done together. That’s why all of our team members work on-site under the same roof. But work-life balance is also important to us, so we offer flexible work schedules to take the stress out of appointments, family obligations and other needs that may pop up.

While every team member has a designated workspace (with an electronic sit-stand desk), our campus was designed to house a variety of unique work and play zones (e.g., quiet library space, coffee bar/lounge areas, recreational game zone, and outside/patio work and break areas).

What You’d Do in This Role: Real Estate at RamseyTrusted runs on data, and right now that data lives across legacy models that don’t talk to each other the way they should. You’ll take ownership of rebuilding that foundation, migrating scattered models onto a clean, medallion based architecture that the whole Real Estate team can trust and build on for years to come. Instead of chasing one off pulls, you’ll build reusable models anchored to shared dimensions and key facts, and you’ll instrument your pipelines with tests so problems surface long before they reach someone making a decision. As you build, you’ll build up the people around you too, pairing with Real Estate team members so they can trust the data, understand it, and increasingly answer their own questions without you in the room. You’ll do it all alongside a Data and Analytics squad that counts on you to turn ambiguous, judgment heavy problems into shipped, dependable work.