The Analyst of Loyalty & CRM is a key member of The North Face Americas Loyalty & Lifecycle team, responsible for the strategy, measurement, and optimisation of analytics across XPLR Pass and Lifecycle Marketing channels, including Email, SMS, and Push. Reporting to the Sr. Manager, Loyalty & Lifecycle Marketing, the role analyses customer behaviour across loyalty and lifecycle marketing, identifies growth opportunities, and leads measurement and reporting across the programme and its marketing channels. The position works cross-functionally across Loyalty & CRM, Marketing, Ecommerce, Retail, Finance, and Data & Analytics to improve how performance is measured, how insights are communicated, and how customer growth opportunities are prioritised. It plays a critical role in driving optimisation efforts that deliver revenue impact and improve member acquisition, engagement, and retention.
Key Responsibilities
- Build and lead the analytics roadmap for Loyalty and Lifecycle Marketing, prioritising initiatives based on business impact, customer value, feasibility, and strategic objectives.
- Serve as the primary analytics voice representing loyalty and lifecycle marketing analytics, shaping decisions with objective insights and clear recommendations.
- Support the execution of omnichannel customer journeys across email, SMS, push notifications, direct mail, and emerging channels through customer data and insights.
- Partner with CDP, Analytics, and Technology teams to leverage customer data for analysis, audience insights, measurement, and personalisation opportunities.
- Analyse 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 prioritise 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, delivering 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.
- Analyse customer behaviour across retail, eCommerce, loyalty, and marketing touchpoints to deliver a unified view of customer engagement and value.
- Collaborate cross-functionally with the eCommerce team, the VF data and analytics team, and marketing teams, and 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.
Required Experience & Qualifications
- 4+ years in digital analytics, loyalty analytics, lifecycle marketing analytics, consumer data platforms, marketing analytics, or related fields.
- Bachelor's degree in business, statistics, analytics, mathematics, or equivalent professional experience in a digital analytics role.
- Strong foundation in digital analytics tools (e.g., GA4, Tableau, Power BI, Quantum Metrics, Databricks).
- Strong foundation working with a Consumer Data Platform (e.g., BlueConic).
- Experience using SQL to query, analyse, and validate customer and marketing data.
- Experience leveraging analytics, behavioural, and customer data platforms (e.g., GA4, Quantum Metric, Consumer Data Platform – BlueConic, Salesforce Marketing Cloud) to develop a deep understanding of customer behaviour and performance.
- Understanding of Loyalty and Lifecycle Marketing KPIs and metrics (cost per acquisition, CLV, opens, unique clicks, CTR, CVR, etc.).
- Understanding of how the loyalty programme economy works (points, rewards, point liability, breakage, etc.).
- Experience analysing customer behaviour, journeys, and performance trends.
- Ability to translate data into clear insights and structured outputs.
- Highly proficient in Excel (or similar tools) and experience working with dashboards or reporting tools.
- Basic understanding of customer segmentation concepts (e.g., lifecycle stages, cohort analysis, audience targeting).
- Experience with forecasting, opportunity sizing, statistical analysis, and measurement methodologies.
- Ability to apply a structured approach to analysis, connecting data to insight, opportunity, and recommended action.
- Ability to incorporate segment-level analysis into all work, ensuring recommendations consider how different audiences interact with marketing channels or the loyalty programme.
Workplace
- Denver, Colorado (location requirement)
Salary
- Eligible for additional compensation awards that may include an annual incentive plan, sales incentive, or commission potential; specific details of additional compensation eligibility are provided during the recruiting and interview process.
- Hiring ranges are determined and built from market pay data, and specific compensation for the position complies with all local, state, and federal laws.
Benefits & Perks
- Comprehensive benefits that encourage mental, physical, and financial well-being for all VF associates, with a general overview of each benefit programme, including current medical plan rates, available to prospective applicants; detailed information is provided during the hiring process.
- Training on VF's systems, tools, and reporting infrastructure.
- Training on The North Face seasonal strategy and go-to-market calendar.
- Training on the XPLR Pass loyalty programme and lifecycle marketing strategy.
- Exposure to internal operating rhythms and cross-functional workflows.