Senior Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the development and upkeep of enterprise data models utilized across various business functions.

• Design and execute ETL/ELT pipelines that facilitate the movement, transformation, and enrichment of data throughout the stack.

• Construct transformations adhering to established modeling standards.

• Enhance data reliability through rigorous testing, comprehensive documentation, and strategic design.

• Provide reliable attributes to downstream tools that support activation workflows.

• Contribute to modeling conventions, evaluation processes, and long-term data strategies.

• Ensure a stable warehouse environment through performance optimization and cost management.

• Collaborate with business teams to establish metrics, segmentation logic, and lifecycle attributes.

• Work alongside application engineers, analysts, and ML/AI stakeholders to develop targeted data solutions.

• Create a stable, governed, high-trust data environment that informs business decisions.

⛳️ Requirements

• Demonstrated experience in a cloud warehouse setting, with knowledge of warehouse cost and performance management.

• Practical experience with relational databases, including schema design, query optimization, indexing, and administration.

• Responsibility for production data models that are utilized by other teams.

• Experience in building transformations using a version-controlled workflow.

• Profound understanding of dimensional modeling supported by clear modeling rationale.

• Experience in constructing and maintaining ETL/ELT pipelines.

• Proven ability to enhance data quality through testing, documentation, and careful design.

• Knowledge of data governance frameworks, role-based access controls, and best practices for PII/data privacy.

• Familiarity with BI tools from the perspective of data modeling and provisioning.

• Experience with identity stitching, consent logic, or historical tracking.

• Experience in collaborating with business teams to define metrics or attributes.

• Background in supporting customer or lifecycle analytics.

• Experience in delivering attributes or segments to downstream tools.

• Over 6 years of professional experience in an analytics engineering role.

• At least 2 years in a senior position.

• Collaboration during U.S. business hours is mandatory.

• Experience in a franchise, multi-location retail, or consumer services environment is a plus.

🏝️ Benefits

• Health/Dental/Vision insurance.

• Paid time off.

• Company-paid Life and AD&D Insurance.

• Short-term disability.

• 401k with company match.

• Complimentary Scenthound membership for your dog.

• In-house training.

• Clear career progression.

• Achievable advancement opportunities.