Senior Analytics Engineer

Ramsey Solutions • Nashville, TN

121d • $100,000 - $130,000 • Onsite

About The Position

The 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.

Requirements

• You have 5+ years of experience as an analytics engineer, data analyst, or another similar role.
• 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 warehousing and ETL/ELT processes
• You have the ability to clearly communicate with both technical and non-technical stakeholders

Nice To Haves

• You have experience with data visualization tools (e.g., Tableau, Looker, Plotly, Streamlit) and with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus.

Responsibilities

• Building and maintaining data warehouses and data marts, ensuring data quality, accuracy, and consistency.
• Developing and implementing data quality checks and monitoring systems to identify and resolve data issues proactively.
• Developing a deep understanding of key datasets and data models within the data platform.
• Becoming a trusted advisor to analytics customers and stakeholders on data-related matters.
• Collaborating with customers and stakeholders to understand their problems and translate them into data products for the team to deliver.
• Developing and maintaining source of truth reports and dashboards for key business metrics.
• Ensuring data accuracy and consistency across all reporting channels.
• Designing, developing, and maintaining data pipelines and ETL processes using modern data engineering tools and technologies (e.g., SQL, Python, Apache Airflow, dbt, Snowflake, AWS Redshift).
• Monitoring data pipelines for performance and ensure data integrity.
• Optimizing data pipelines for performance and scalability to support the growing demands of the business.

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!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed