Senior Analytics Engineer

Forward Financing is a financial technology company based in Boston, Massachusetts with team members throughout the United States, Dominican Republic, and Canada. The company is on a mission to unlock the capital that fuels small businesses across America. Recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®, Forward is investing in its employees, technology, and customer experience – with long-term success in mind every step of the way.

The Analytics Engineering team at Forward plays a central role in our Data ecosystem, working with various technical stakeholders to convert raw data into actionable insights. Our team builds and optimizes data infrastructure, transforms complex data sets, and develops data pipelines that support business intelligence, advanced analytics, and predictive modeling.

As a Senior Analytics Engineer, you will design, construct, and maintain data models, collaborating with teams like Data Engineering, Data Science, DevOps, and Business Intelligence. You will help manage our modern analytics platform, using tools such as dbt, Fivetran, Snowflake, Census, and Tableau, ensuring the delivery of high-quality data products that drive innovation and informed decision-making across the organization.

In This Role You Will:

• Design, develop, and optimize scalable dimensional data models and marts using dbt, proactively enforcing the DRY (Don't Repeat Yourself) principle to minimize redundant logic and maximize efficiency

• Act as the primary liaison with the Data Science team to translate features into production-ready data variables required for training and validating predictive models

• Collaborate closely with the Data Engineering team to ensure the robust, reliable deployment and orchestration of data variables that feed production machine learning models

• Partner with the Core Technology teams on internal application schema changes and data migrations, ensuring rigorous data accuracy validation and maintaining minimal disruption to downstream analytical models

• Collaborate with the DevOps team to monitor, maintain, and contribute to our independent, high-performance streaming pipelines tailored for real-time analytics use cases

• Elevate team code quality by serving as a technical reviewer for Analytics team pull requests, coaching junior members, and ensuring strict adherence to internal standards for style, maintainability, performance, and modern best practices

• Evaluate, integrate, and operationalize high-value third-party data sources to strategically enrich and expand the overall data ecosystem

• Champion data governance and quality across the data platform, including the implementation of automated data quality checks (using dbt tests), thorough data cataloging, and ensuring compliance with data security and regulatory standards

Role Requirements:

(Even if you don’t check every box, but see yourself contributing, please apply.)

• 4+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence

• 2+ years of hands-on experience developing and maintaining production-level data transformation pipelines using dbt or equivalent scripting experience in Python

• 2+ years of experience with a cloud-based data warehouse such as Snowflake or Redshift

• Advanced proficiency in SQL and data modeling

• Demonstrated strong ability to quickly translate complex business needs and ambiguous requirements into robust, scalable technical data solutions

• Experience with business intelligence tools such as Looker, Tableau, or similar

• Bonus Qualifications: Hands-on experience with Python for data scripting, automation, or predictive modeling support

Compensation:

Annual Targeted Salary: $145,000– $170,000 USD

Annual Target Bonus: 10%

At Forward Financing, we're committed to fair and transparent compensation. We believe in providing a compensation package that recognizes your skills, experience, and the unique value you bring to our team. We take a market-based approach to pay, regularly reviewing benchmark data to ensure our compensation remains competitive, equitable, and aligned with our performance-driven culture.

Final offers are determined by a variety of factors, including the candidate's qualifications, relevant experience, specific skills, and internal equity. This approach ensures that our compensation is competitive and equitable. Your recruiter will provide specific details on the expected base and variable earnings as it pertains to this specific role.

Total Rewards: