The Knot Worldwide is looking to hire a Lead Data Analyst to drive analytics capabilities across their core Consumer Marketing teams, ensuring decision-makers have trusted data, clear KPIs, and actionable insights.
Requirements
- Strong SQL skills and experience with modern data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Proficiency with BI tools (e.g., Looker, Preset/Superset, Metabase, Tableau).
- Experience with metrics layer tools (e.g., dbt metrics, LookML, Cube) in a governed reporting environment.
- Exceptional analytical thinking, problem-solving, and data storytelling skills.
- Marketing domain expertise — deep familiarity with concepts such as channel performance analysis, funnel metrics, media attribution, lifecycle marketing, and campaign measurement.
- Ability to operate with minimal direction while managing multiple priorities.
Responsibilities
- Develop, document, and maintain clear, consistent metric definitions within a centralized semantic layer (i.e. Cube).
- Partner with business and data stakeholders to align on KPI logic and ensure consistent usage across reports and dashboards.
- Contribute to processes that ensure metrics are version-controlled, certified, and discoverable.
- Build and maintain high-quality dashboards and reports that support business teams, executives, and operational workflows.
- Ensure reporting outputs reflect the most current and accurate data definitions.
- Support rollout of modern BI tools and adoption of the semantic layer.
- Lead deep-dive analyses into performance trends, identifying root causes and key opportunities.
Other
- This is a senior individual contributor role within the Data Science & Analytics organization who will operate with a high degree of autonomy.
- Serve as the primary analytics partner Marketing for a suite of consumer-focused brands—responsible for ensuring decision-makers have trusted data, clear KPIs, and actionable insights.
- Serve as a key analytics partner to teams across Marketing, Product, Finance, and Revenue.
- Translate business questions into structured analyses, and help teams interpret results with appropriate context and caveats.
- Strong track record of collaborating with cross-functional teams and influencing senior stakeholders.
