Senior Analytics Engineer

🔥 16 hours ago

🏈 Alabama, Florida, +5 more states – Remote

🏈 Alabama – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🍂 Massachusetts – Remote

💵 $112.5k - $140.7k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

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Independence Pet Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛡️ Insurance

👥 B2C

🧘 Wellness

Insurance • B2C • Wellness

Independence Pet Group is one of North America’s largest pet insurance and services organizations. The company supports insurance for more than 800,000 pets in the U. S. and Canada, with a mission to strengthen the bond between pets and their owners through innovative products and services. IPG offers a comprehensive range of underwriting options, turnkey partner solutions, and consumer-facing insurance products to support pets throughout their lives. The company is home to several insurance brands, providing vital support and services in the pet care industry.

📋 Description

• Own analytics engineering roadmap, priorities, standards, and operating practices • Design and evolve analytics architecture across bronze, silver, and gold data layers • Build, maintain, and optimize dbt models for curated, reusable, analytics-ready datasets • Write and optimize advanced SQL and use Python for transformation, validation, automation, and complex processing • Develop dimensional and business-oriented data models for dashboards, self-service analysis, operational reporting, and data products • Establish shared KPI definitions, calculation logic, data contracts, ownership, and authoritative sources • Implement automated tests, source freshness checks, documentation, lineage, and monitoring • Establish Git-based version control, code review, CI/CD, and controlled environment promotion • Partner with Data Engineering on ingestion, source schemas, platform performance, and data-layer handoffs • Partner with analysts, BI developers, and business stakeholders to create scalable models • Improve Databricks performance and cost efficiency through table design, incremental processing, query optimization, and compute management • Lead data-quality investigations, root-cause analysis, remediation, and communication • Strengthen data governance, access controls, sensitive-data handling, ownership, and stewardship • Migrate spreadsheet, dashboard, and ad hoc query logic into governed dbt models • Design resilient models supporting historical analysis, changing source systems, incremental loads, and evolving business definitions • Create technical documentation, modeling conventions, and enablement materials • Raise team capability through design reviews, reusable patterns, feedback, and hands-on mentorship

🎯 Requirements

• Bachelor’s degree or higher in computer science, data engineering, analytics, information systems, mathematics, or a related discipline, or equivalent professional experience • 8+ years of relevant data and analytics experience, including senior-level ownership of production analytics data models and standards • Strong record of success leading complex analytics engineering, data engineering, business intelligence engineering, or closely related initiatives • Advanced SQL skills and experience designing, debugging, and optimizing complex transformations • Deep, hands-on dbt experience, including scalable model architecture, testing, incremental models, snapshots, documentation, macros, packages, and production deployment workflows • Strong Databricks experience, including Delta Lake, Spark SQL, Workflows or Jobs, Unity Catalog, and performance management/tuning • Experience operating medallion architectures and lakehouse data models across bronze, silver, and gold layers • Strong Python skills for data processing, testing, validation, automation, and engineering utilities • Strong understanding of dimensional modeling, warehouse and lakehouse design, semantic layers, slowly changing dimensions, and metric governance • Experience with Git, CI/CD, code review, automated testing, orchestration, and environment management • Ability to translate ambiguous business needs into clear technical designs and communicate effectively with senior leaders and non-technical stakeholders • Experience in animal health, veterinary services, pet insurance, SaaS, fintech, or health technology is a plus

🏖️ Benefits

• Annual bonus eligibility • Comprehensive full medical, dental and vision Insurance • Basic Life Insurance at no cost to the employee • Company paid short-term and long-term disability • 12 weeks of 100% paid Parental Leave • Health Savings Account (HSA) • Flexible Spending Accounts (FSA) • Retirement savings plan • Personal Paid Time Off • Paid holidays and company-wide Wellness Day off • Paid time off to volunteer at nonprofit organizations • Pet friendly office environment • Commuter Benefits • Group Pet Insurance • On the job training and skills development • Employee Assistance Program (EAP)