Lifecycle Marketing Analyst

Summary

Join AlphaSense's marketing team as a detail-oriented and data-driven Lifecycle Marketing Analyst. You will analyze customer data to drive engagement, retention, and growth. Responsibilities include analyzing customer journeys, reporting on campaign performance, developing customer segments, conducting A/B testing, and uncovering actionable insights using SQL, Excel, and marketing automation platforms. Collaboration with cross-functional teams is crucial to align marketing efforts with business goals. You will contribute to developing retention strategies and automated workflows. Staying current on industry trends is also expected.

Requirements

• Bachelor’s Degree in Marketing, Business, Data Analytics, or related field
• 4+ years of experience in marketing analysis, lifecycle marketing, CRM, or a similar role
• Strong proficiency in data storage & analysis tools such as BigQuery, Excel, SQL, and visualization tools (e.g., Tableau, Power BI)
• Experience with marketing automation platforms like Marketo, HubSpot, Eloqua, or Salesforce Marketing Cloud
• Familiarity with customer segmentation and data-driven marketing techniques
• Excellent analytical and problem-solving skills, with an ability to turn data into actionable insights
• Strong communication skills with the ability to present findings and make recommendations to both technical and non-technical stakeholders
• Experience with A/B testing and conversion rate optimization
• Ability to work in a fast-paced, collaborative environment with cross-functional teams

Responsibilities

• Analyze Customer Journeys: Conduct in-depth analyses of the customer lifecycle to identify patterns, behaviors, and opportunities for improvement across acquisition, onboarding, engagement, and retention phases
• Campaign Performance Reporting: Track and report on the effectiveness of lifecycle marketing campaigns across various channels (email, in-app, web, etc.) to optimize for key metrics such as open rates, click-through rates, and conversion rates
• Customer Segmentation: Develop and refine customer segments based on behaviors, demographics, and engagement levels to deliver personalized marketing messages
• A/B Testing & Experimentation: Design and execute A/B tests to assess the effectiveness of different marketing strategies, messaging, and content. Present findings and recommend actionable insights for future campaigns
• Data-Driven Insights: Analyze large datasets using tools like SQL, Excel, and marketing automation platforms (e.g., Marketo) to uncover actionable insights that inform marketing strategies
• Collaborate with Stakeholders: Work closely with cross-functional teams (e.g., product, sales, data science) to gather insights and align marketing efforts with overall business goals
• Customer Retention Strategies: Help develop and implement retention analytics to monitor lifecycle programs and show business impact of lifecycle campaigns aimed at increasing customer lifetime value (CLV) and reducing churn
• Marketing Automation & Personalization: Assist in the development of automated workflows and personalized marketing strategies that improve customer engagement and satisfaction
• Trend Analysis: Stay up-to-date on industry trends, emerging technologies, and best practices in lifecycle marketing and customer retention to bring fresh ideas to the team

Preferred Qualifications

• Experience with SQL, Python, or R for advanced data analysis
• Familiarity with customer retention and churn analysis models
• Understanding of lifecycle marketing frameworks and customer journey mapping

Benefits

• Performance-based bonus
• Equity
• Generous benefits program