Senior Analytics Engineer

Scenthound

Senior Analytics Engineer building production-grade models and pipelines for Scenthound, a membership-based dog-care franchise. Enabling trusted metrics, segmentation, and marketing activation across operations.

Posted 8/13/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and implementing ETL/ELT pipelines, maintaining enterprise data models, and ensuring data quality through testing and documentation. Proven ability to collaborate with cross-functional teams to define metrics and deliver data solutions in a cloud warehouse environment.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentDimensional ModelingData Governance FrameworksRelational Database ManagementAnalytics Engineering

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModelingSchema DesignQuery OptimizationIndexingData Quality ImprovementVersion-Controlled WorkflowPerformance TuningCost ManagementIdentity StitchingLifecycle Analytics

Soft Skills

CollaborationCommunication

Tools & Technologies

BI ToolsCloud Warehouse

Industry Keywords

Data Privacy Best PracticesRole-Based Access ControlsMulti-Location RetailConsumer Services

Tech Stack

Tools & technologies

CloudETL

About the role

Key responsibilities & impact

Own the creation and maintenance of enterprise data models used across multiple business functions
Design and implement ETL/ELT pipelines that move, transform, and enrich data across the stack
Build transformations following clear modeling standards
Improve data reliability through testing, documentation, and thoughtful design
Deliver trustworthy attributes to downstream tools supporting activation workflows
Contribute to modeling conventions, review processes, and long-term data strategy
Maintain a predictable warehouse environment through performance tuning and cost management
Partner with business teams to define metrics, segmentation logic, and lifecycle attributes
Collaborate with application engineers, analysts, and ML/AI stakeholders to deliver purpose-built data solutions
Establish a stable, governed, high-trust data environment powering business decisions

Requirements

What you’ll need

Proven experience in a cloud warehouse environment and understanding of warehouse cost and performance management
Hands-on experience with relational databases, including schema design, query optimization, indexing, and administration
Ownership of production data models relied on by other teams
Experience building transformations using a version-controlled workflow
Deep understanding of dimensional modeling with clear modeling rationale
Experience building and maintaining ETL/ELT pipelines
Experience improving data quality through tests, documentation, and thoughtful design
Familiarity with data governance frameworks, role-based access controls, and PII/data privacy best practices
Familiarity with BI tools from a data model and provisioning perspective
Experience with identity stitching, consent logic, or historical tracking
Experience partnering with business teams to define metrics or attributes
Experience supporting customer or lifecycle analytics
Experience delivering attributes or segments to downstream tools
6+ years of professional experience in an analytics engineering role
At least 2 years in a senior capacity
Collaboration during U.S. business hours required
Experience in a franchise, multi-location retail, or consumer services business is a bonus

Benefits

Comp & perks

Health/Dental/Vision insurance
Paid time off
Company Paid Life and AD&D Insurance
Short Term Disability
401k with company match
Free Scenthound membership for your dog
In-house training
Clear career path
Attainable advancement