The Analytics Engineer produces consumable data products including analytical data models, curated tables, metrics, and visualizations to enable data-driven decision-making. Responsibilities include building and maintaining data warehouses, designing scalable pipelines, establishing data quality checks, and serving as a trusted advisor to stakeholders. Candidates must have 2+ years of analytics experience, SQL proficiency, and scripting skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Description
Team: EntreLeadership
Location: Franklin, TN—on-site, relocation assistance available, flexible schedules available
Salary: $77,000–$113,000/year* + profit sharing + benefits
- Range depends on skill level and overall experience.
Our Mission: Ramsey 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!
Looking to advance your Development & Programming career with relocation support? Explore Development & Programming Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
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
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
You’re Probably a Match If
- You have 2+ years of experience as an analytics engineer, data analyst, or another similar role.
- You have the ability to clearly communicate with both technical and non-technical stakeholders
- You are proficient in SQL and scripting languages (for example: Python and R)
- You have experience with several of the following:
- Data pipelining and ETL/ELT processes
- Data modeling and dimensional modeling
- Data visualization (e.g. Streamlit, Plotly, Shiny)
Interested in relocating to United State? Check out our comprehensive Relocation Jobs in United State page with detailed relocation packages and benefits.
- Build and maintain data warehouses and data marts, ensuring high standards of data quality, accuracy, and consistency across the platform.
- Design, develop, and optimize scalable data pipelines and ETL processes using modern tools (e.g., SQL, Python, Apache Airflow, dbt, Snowflake, AWS Redshift), including monitoring for performance and data integrity.
- Establish and enforce robust data quality checks and monitoring systems to proactively identify and resolve data issues.
- Develop and maintain source-of-truth reports and dashboards for key business metrics, ensuring consistency across all reporting channels.
- Build deep expertise in key datasets and data models to support reliable, well-informed analytics.
- Partner with customers and stakeholders to understand business needs and translate them into actionable data products.
- Serve as a trusted advisor to analytics customers and stakeholders on data-related strategy and best practices.
EOE, including disability/vets
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