Senior Analytics Engineer
Listed on 2026-02-19
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Software Development
Data Engineer
Description
Location:
Franklin, TN—on-site, relocation assistance available, flexible schedules available
You might know us from our founder and CEO, Dave Ramsey, who’s given no‑nonsense money advice on the radio since 1992. Three decades later, Ramsey Solutions is a household name in personal finance, with a mission to change the toxic money culture for good.
Our MissionRamsey Solutions provides biblically based, commonsense education and empowerment that give HOPE to everyone in every walk of life.
Here’s a Taste Of Our Benefits- 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!
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 RoleThe Sr Analytics Engineer will play a critical role in building and maintaining the datasets and reporting that powers our business decisions. This role will focus on designing, developing, and implementing data pipelines and processes to transform raw data into high‑quality data products leveraged by key decision‑makers at Ramsey Solutions. The ideal candidate is a highly analytical and results‑oriented individual with a passion for data and a strong understanding of data warehousing principles.
If you are looking to join a data team that is driven by vision, purpose, and real partnership with the business, this is your role.
Our vision is simple but powerful. Ramsey Solutions is confidently using data to accelerate its mission of bringing hope and transforming lives. Data is not an afterthought here. It is a strategic tool used to move the business forward and help people make better decisions.
We exist to help people make the best possible decisions, and our primary customers are key decision makers across the organization. These are leaders who rely on trusted data to shape strategy, solve problems, and drive impact. The work you do will not sit in dashboards unused. It will directly influence outcomes across the business.
As a team, we build data products, not just reports. We proactively partner with our stakeholders to discover problems worth solving, then iteratively design and test solutions until those problems are truly solved. This role is for someone who wants to be close to the business, take ownership, and see their work actively used to guide decisions that matter.
You’re Probably a Match If- You have 4–6 years of experience in analytics engineering or data development, owning the full data lifecycle—from building pipelines and designing data models to delivering dashboards that drive decision‑making.
- You are proficient in SQL and scripting languages (for example: Python and R).
- You have experience with data modeling and dimensional modeling.
- You have experience with data visualization tools (e.g., Shiny, Plotly, Streamlit) and with cloud‑based data platforms (e.g., AWS, Azure, GCP) is a plus.
- You have experience with data warehousing and ETL/ELT processes.
- You have the ability to clearly communicate with both technical and non‑technical stakeholders.
- Building and maintaining data warehouses and data marts, ensuring data quality, accuracy, and…
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