Senior Analytics Engineer

Forward Financing•Boston, MA

7d•$145,000 - $170,000•Remote

About The Position

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.

Requirements

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

Nice To Haves

Hands-on experience with Python for data scripting, automation, or predictive modeling support

Responsibilities

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