Senior Data Analyst

Job not on LinkedIn

🔥 17 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 21 days.
• No salary listed.

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Scenthound

WebsiteLinkedInAll Job Openings

11 - 50 employees

👥 B2C

🧘 Wellness

💰 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 • Design, develop, and maintain interactive, high-performance dashboards and automated reports in Power BI, Tableau, or other BI platforms • Track company-wide key performance indicators (KPIs) • Build transformations following clear modeling standards • Improve data reliability through testing, documentation, and thoughtful design • Support activation workflows by delivering trustworthy attributes to downstream tools • 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 • Gather reporting requirements, map data structures, and translate business questions into actionable visualization metrics • Collaborate with application engineers, analysts, and ML/AI stakeholders to deliver purpose-built data solutions • Turn messy operational data into reliable, well-modeled, business-ready datasets

🎯 Requirements

• Proven experience in a cloud warehouse environment • Hands-on experience with relational databases, including schema design, query optimization, indexing, and administration • Ownership of production data models relied upon by other teams • Experience building transformations using a version-controlled workflow • Deep understanding of dimensional modeling, with a strong rationale for modeling decisions • 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 • Experience with identity stitching, consent logic, or historical tracking • 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 • Experience in a franchise, multi-location retail, or consumer services business is a bonus • Ability to collaborate during U.S. business hours • Must be legally authorized to work in the United States • Employment sponsorship will not be offered

🏖️ 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

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