Senior Analytics Engineer

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Scenthound

WebsiteLinkedInAll Job Openings

11 - 50 employees

👥 B2C

🧘 Wellness

🔥 Funding within the last year

💰 Private equity on 2025-11

B2C • Wellness

Scenthound is a dog care company that offers membership-based hygiene and routine wellness services focused on keeping dogs clean, comfortable, and healthy. The company breaks from traditional grooming models by providing affordable monthly subscription plans that encourage regular visits, deliver recurring revenue for franchise owners, and emphasize a health-centric, data-driven approach delivered in modern storefronts by trained staff. Scenthound also operates as a franchise opportunity for entrepreneurs.

📋 Description

• 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

• 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

• 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