Marketing and Customer Data Analyst

The ideal candidate doesn't just "run reports"; they uncover the "why" behind the numbers. They solve problems, take initiative and identity opportunities.

Key Responsibilities

• Customer Intelligence: Own the end-to-end analysis of the customer journey, including acquisition, retention, and reactivation along with adhoc projects and analysis.
• Omnichannel Tracking: Manage customer analysis and segmentation from data across multiple internal and external selling platforms.
• Segmentation & Personalization: Develop sophisticated customer segments based on behavioral data to fuel targeted merchandising, marketing and CX strategies.
• Data Governance & BI: Maintain and expand our BI platforms and dashboards to ensure an accurate "single source of truth" for cross-functional teams.
• Performance Tracking: Design and automate dashboards that track marketing KPIs, attribution, and experiment (A/B testing) results.
• Cross-Functional Collaboration: Partner with Marketing, ECommerce, Product and Data Engineering teams to understand strategic priorities and deliver actionable analysis and insights.

Technical Requirements

• SQL: You are an expert at writing complex and efficient queries to extract insights from large-scale data warehouses (e.g., BigQuery, Snowflake, Redshift) from multiple sources and selling channels.
• BI Expertise: Extensive experience with BI platforms, building and maintaining dashboards. Proficiency with Looker and LookML is a significant advantage.
• Statistical Literacy: Strong understanding of statistical concepts as they apply to marketing (e.g., significance testing, cohort analysis, and correlation vs. causation).
• Tooling: Familiarity with digital analytics data outputs (e.g. Adobe Analytics), CRM platforms, and marketing tools (e.g. Klaviyo, Appsflyer) is a plus.

Qualifications

• Experience: 3–5 years in a data-heavy marketing, customer or product analytics role.
• Strategic Mindset: You understand the "big picture" of the Customer Lifecycle and can translate technical findings into a simple narrative for non-technical stakeholders.
• Precision: High attention to detail, data integrity and accuracy.
• Agility: Ability to thrive in a fast-paced environment where priorities can shift based on new data.
• Be part of a purpose-driven company that’s shaping the future of comfort and mental wellness.