Senior Analytics Engineer

National Debt Relief, LLC.

106d • $125,000 - $140,000

About The Position

As a Senior Analytics Engineer, you will contribute to the analytics engineering function at National Debt Relief, optimizing existing analytics and BI data pipelines, data transformations, and Python automation scripts. This role requires a highly technically skilled individual with strong business acumen who can work closely with business stakeholders and the Analytics & BI teams to deliver clean, accurate data rapidly. In the short term, you will focus on delivering curated datasets to Salesforce CRMA and maintaining existing infrastructure. Long term, you will help lead the migration of the analytics layer to a cloud data warehouse, implement BI dashboards, and leverage tooling such as DBT and Snowflake to enhance processes and pipeline efficiency.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. Advanced degree preferred.
• 6+ years of experience in analytics engineering, data engineering, or a related field.
• Proficiency in SQL and Python, with experience in developing and optimizing data pipelines.
• Experience with DBT for data engineering automation.
• Experience with cloud data warehouses such as Snowflake, Azure, Redshift, or GCP. Snowflake preferred.
• Experience building dashboards in an enterprise business intelligence platform such as Sigma, Tableau, or similar. Sigma preferred.
• Strong understanding of data integration, transformation, and visualization.
• Experience in building analytics layers in practical implementations.
• Strong business acumen with the ability to translate business requirements into technical solutions.
• Knowledge of data governance, security, and quality management practices.
• Excellent problem-solving skills and attention to detail.
• Strong project management skills, with the ability to manage multiple priorities and deliverables.

Nice To Haves

• Experience in financial services or a related industry.
• Front line client-facing experience.
• Familiarity with machine learning and AI concepts.
• Experience with API development and integration.

Responsibilities

• Optimize and maintain analytics and BI data pipelines, ensuring efficient data processing and transformation.
• Develop and manage data transformations, API calls, and automation scripts.
• Deliver curated data sets to Salesforce CRMA.
• Ensure the performance, scalability, and reliability of analytics infrastructure.
• Build and maintain the analytics layer in the cloud data warehouse, ensuring data accuracy and availability.
• Help lead the migration of the analytics layer to the DW back-end via SQL.
• Implement best practices for data governance, security, and quality management.
• Stay current with emerging technologies and industry trends, incorporating new tools and techniques as appropriate.

Benefits

• Generous Medical, Dental, and Vision Benefits
• 401(k) with Company Match
• Paid Holidays, Volunteer Time Off, Sick Days, and Vacation
• 12 weeks Paid Parental Leave
• Pre-tax Transit Benefits
• No-Cost Life Insurance Benefits
• Voluntary Benefits Options
• ASPCA Pet Health Insurance Discount
• Access to your earned wages at any time before payday

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees