Lead Analytics Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $134.9k - $231.2k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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The Knot Worldwide

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2018

🏪 Marketplace

📱 Media

Marketplace • Media

The Knot Worldwide is a global consumer-facing company operating leading wedding and celebration planning websites and mobile apps that provide inspiration, trusted editorial content, vendor directories, and planning tools to help people take celebration planning from inspiration to action. It connects couples and other celebrants with vendors and services across more than 16 countries, acting as both a media/content platform and a marketplace for event-related services.

📋 Description

• Architect the data and analytics infrastructure supporting data science and analytics teams across Growth & Lifecycle, Marketplace, eCommerce, WeddingWire, and International • Own the business-context layer on Data Engineering pipelines and the semantic layer serving as the single source of truth • Design shared data models and semantic layers using shared datasets • Define authoritative sources of truth for core business metrics and govern changes to metric definitions • Set and enforce standards for dataset structure, naming, documentation, testing, and reporting tiers • Architect a self-serve analytics layer for stakeholders using BI tools • Partner with Data Engineering on roadmaps, data contracts, warehouse performance, and cost • Own data and BI issues from root cause through resolution and escalate stalled issues • Coach Data Science and Analytics practitioners on dimensional modeling, semantic layer use, and self-serve analytics • Report to the Senior Director of Data Science

🎯 Requirements

• 7+ years of experience building analytics infrastructure, data platforms, or data engineering at scale • Expert-level data modeling, including dimensional modeling, star schema, fact tables, and dimension tables • Expert-level SQL • Experience with a cloud warehouse such as Snowflake • Expert-level experience with dbt • Expert-level experience with data pipeline orchestration, such as Airflow or equivalent • Expert-level experience with semantic layers and BI tools, such as Cube, Semantic Views, Preset, Looker, or equivalent • Track record of building reusable datasets and standards adopted by multiple teams • Experience enabling AI tools for non-technical stakeholders • Ability to explain complex data architecture to non-technical stakeholders and influence without direct authority • Systems thinking focused on organizational impact • Bonus: experience with experimentation infrastructure and test result analysis, open source or published writing on analytics architecture, or coaching analytics engineers and data analysts

🏖️ Benefits

• Medical insurance • Dental insurance • Retirement benefits • Generous leave policies • Fully remote work with no regular in-office requirements • Intentional company and team gatherings • Meaningful opportunities for professional growth and development • Physical and mental wellness programs • Flexible time off • Virtual collaboration for roles not eligible for in-office expectations

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