Senior Analytics Engineer

Forward Financing

Senior Analytics Engineer designing and maintaining data models for AI-ready insights at a fintech company. Collaborating with cross-functional teams to drive innovation and informed decision-making.

Posted 7/1/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $145,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in designing and optimizing scalable dimensional data models using dbt, with advanced proficiency in SQL and experience in cloud-based data warehouses like Snowflake or Redshift. Strong ability to translate complex business needs into effective data solutions while ensuring data governance and quality.

Highest-signal resume keywords

Dbt DevelopmentSQL ProficiencyCloud-Based Data WarehousingData GovernanceData Transformation Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Dimensional Data ModelingData TransformationAnalytics EngineeringData EngineeringBusiness Intelligence

Soft Skills

CollaborationTechnical ReviewCommunication

Tools & Technologies

SnowflakeRedshiftPython

Industry Keywords

Data CentralizationData QualityData GovernanceData Science Liaison

Tech Stack

Tools & technologies

Amazon RedshiftCloudPythonSQL

About the role

Key responsibilities & impact

Design, develop, and optimize scalable dimensional data models and marts using dbt
Build and extend Forward's semantic layer and metrics standards
Help deliver the data foundation that powers AI at Forward
Advance Forward's data centralization vision
Act as the primary liaison with the Data Science team
Collaborate closely with the Data Engineering team
Partner with the Core Technology teams on internal application schema changes
Collaborate with the DevOps team
Elevate team code quality by serving as a technical reviewer
Evaluate, integrate, and operationalize high-value third-party data sources
Champion data governance and quality across the data platform

Requirements

What you’ll need

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 cloud-based data warehouse such as Snowflake or Redshift
Advanced proficiency in SQL and dimensional data modeling
Demonstrated strong ability to quickly translate complex business needs and ambiguous requirements into robust, scalable technical data solutions

Benefits

Comp & perks

Competitive salary
Annual Target Bonus: 10%
Fair and transparent compensation package