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The North Face

Designs outdoor apparel and gear

The North Face: Analyst - Loyalty and CRM, Americas

Data ScienceUpdated on Nov 10
Full-timeDenver, CO, USA

About the Job

Requirements

  • At least 4 years of experience in digital analytics, loyalty analytics, lifecycle marketing analytics, consumer data platforms, marketing analytics, or related fields.
  • A bachelor's degree in business, statistics, analytics, or mathematics, or equivalent professional experience in a digital analytics role.
  • A strong foundation in digital analytics tools such as GA4, Tableau, Power BI, Quantum Metrics, or Databricks.
  • A strong foundation working with a Consumer Data Platform such as BlueConic.
  • Understanding of Loyalty and Lifecycle Marketing KPIs and metrics, including cost per acquisition, customer lifetime value, opens, unique clicks, click-through rate, and conversion rate.
  • Understanding of loyalty program economics, including points, rewards, point liability, and breakage.
  • Experience analyzing customer behavior, journeys, and performance trends.
  • Ability to translate data into clear insights and structured outputs.
  • High proficiency in Excel or similar tools and experience working with dashboards or reporting tools.
  • Basic understanding of customer segmentation concepts, including lifecycle stages, cohort analysis, and audience targeting.
  • Experience with forecasting, opportunity sizing, statistical analysis, and measurement methodologies.
  • Experience using SQL to query, analyze, and validate customer and marketing data.

Responsibilities

  • Build and lead the analytics roadmap for Loyalty and Lifecycle Marketing, prioritizing initiatives based on business impact, customer value, feasibility, and strategic objectives.
  • Represent loyalty and lifecycle marketing analytics as the primary analytics voice, shaping decisions with objective insights and clear recommendations.
  • Support execution of omnichannel customer journeys across email, SMS, push notifications, direct mail, and emerging channels using customer data and insights.
  • Partner with CDP, Analytics, and Technology teams to leverage customer data for analysis, audience insights, measurement, and personalization opportunities.
  • Analyze member acquisition, engagement, retention, and lifetime value trends to identify opportunities for incremental growth.
  • Develop forecasts, business cases, and opportunity-sizing analyses to support investment decisions and prioritize growth initiatives.
  • Evaluate audience strategies and customer segments to determine effectiveness and inform targeting approaches across lifecycle channels.
  • Own measurement and performance management across Loyalty and Lifecycle Marketing, including KPI frameworks, dashboards, recurring reporting, executive readouts, and business reviews.
  • Monitor performance trends across loyalty and lifecycle channels and deliver actionable insights into what is happening, why it is happening, and where to act.
  • Establish and maintain KPIs, metric definitions, and measurement standards to ensure consistent reporting across teams and platforms.
  • Lead experimentation strategy, including test design, governance, incrementality, uplift measurement, attribution, and performance evaluation.
  • Quantify incremental revenue impact from lifecycle marketing and loyalty initiatives through testing, attribution, and advanced measurement methodologies.
  • Analyze customer behavior across retail, eCommerce, loyalty, and marketing touchpoints to deliver a unified view of customer engagement and value.
  • Collaborate with the eCommerce team, VF data and analytics team, and marketing teams.
  • Partner with Analytics, Data Engineering, and Technology teams to validate data quality, troubleshoot issues, and ensure accurate reporting.
  • Improve analytics efficiency and quality through automation, modern tools, and AI-enabled capabilities.
  • Use analytics, behavioral, and customer data platforms, including GA4, Quantum Metric, BlueConic, and Salesforce Marketing Cloud, to develop an understanding of customer behavior and performance.
  • Apply a structured analytical approach that connects data to insight, opportunity, and recommended action.
  • Incorporate segment-level analysis into work so recommendations account for how different audiences interact with marketing channels and the loyalty program.
  • Maintain data quality and consistency through accurate tracking, KPI definitions, and reporting standards.
  • Present findings and data-informed recommendations to stakeholders at all levels, including senior leadership, translating complex analysis into clear business decisions.
  • Deliver insights that influence business decisions and optimization efforts, and provide high-quality reporting that enables data-driven decision-making.

About the Company

The North Face

Designs outdoor apparel and gear

The North Face provides outdoor clothing, equipment, and footwear for adventure enthusiasts and athletes. It offers jackets, backpacks, tents, sleeping bags, and various footwear designed for durability and performance across casual hikes to professional expeditions. Its products work by using materials and designs that protect against cold, wet, and rugged conditions, with features like insulating layers, weatherproof shells, load-bearing packs, and rugged tents for different terrain. The company differentiates itself through its strong emphasis on sustainability (including a Renewed program for refurbished clothing), a direct-to-consumer model (online, company stores, and authorized dealers), and active sponsorships and community initiatives that support outdoor athletes and enthusiasts. The North Face aims to help people explore outdoors safely and responsibly by offering reliable gear and services while advancing sustainability in its operations and products.

Company size
5,001-10,000
Company stage
Series C
Total funding
$28M
Headquarters
Denver, CO
Founded
1999

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