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The Knot Worldwide

Wedding marketplace linking couples with vendors

Lead Analytics Engineer

Business IntelligencePosted on Nov 11
Full-timeRemote in USA$134.9k - $231.2k /yr

About the Job

Requirements

  • At least 7 years of experience building analytics infrastructure, data platforms, or data engineering at scale.
  • Expert-level data modeling, including dimensional modeling, star schema, and fact and dimension tables, and SQL, with experience in a cloud warehouse such as Snowflake.
  • Expert-level experience with dbt and data pipeline orchestration such as Airflow or an equivalent tool.
  • Expert-level experience with semantic layers and business intelligence tools such as Cube, Semantic Views, Preset, or Looker, or equivalent tools.
  • A track record of building reusable datasets and standards adopted by multiple teams, and enabling artificial intelligence tools for non-technical stakeholders.
  • Ability to explain complex data architecture to non-technical stakeholders and influence them without direct authority.
  • Systems thinking that optimizes for organizational impact across zones rather than individual team wins.
  • Fluency with relevant artificial intelligence tools and the ability to use them thoughtfully and with sound judgment.

Responsibilities

  • Design the shared data model and semantic layer so analytical teams use shared datasets rather than rebuilding them.
  • Define authoritative sources of truth for core business metrics and govern changes to those definitions so executives see consistent numbers across teams.
  • Set and enforce standards for dataset structure, naming, documentation, testing, and Tier 1 versus Tier 2+ reporting, and create playbooks for teams to follow.
  • Architect a self-service layer that lets stakeholders answer their own questions in business intelligence tools without filing a data request.
  • Partner with Data Engineering on the shared roadmap, data contracts, and warehouse performance and cost.
  • Own data and business intelligence issues end to end, from root cause through resolution, and escalate issues when they stall.
  • Coach Data Science and Analytics practitioners on dimensional modeling, semantic-layer use, and self-service analytics.

Desired Qualifications

  • Experience with experimentation infrastructure and test-result analysis.
  • Open-source contributions or published writing on analytics architecture.
  • Experience coaching analytics engineers and data analysts.

About the Company

The Knot Worldwide

Wedding marketplace linking couples with vendors

The Knot Worldwide runs a global, multi-brand wedding planning marketplace that connects engaged couples with local vendors. Its platform pairs free planning tools, personalized wedding websites, gift registries, and invitations for couples with paid listings, advertising, and subscriptions for vendors to gain visibility; couples search, compare, and contact vendors, while revenue also comes from wedding-related products and registry commissions. The company differentiates itself with a wide network of brands across many countries and through acquisitions that broaden coverage for different wedding sizes and markets. The goal is to help couples plan and realize their wedding by connecting them with suitable vendors and tools, while growing marketplace revenue from listings, services, and wedding commerce.

Company size
1,001-5,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2018

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