Marketing Analyst, Customer Lifecycle Management

About the position

Ancestry is seeking a highly motivated Marketing Analyst to join our team, focusing on Customer Lifecycle Management (CLCM) and Customer Relationship Management (CRM). In this role, you will be a key contributor to our marketing and finance teams by providing deep-dive analysis of business performance and strategic recommendations. You will define and maintain key metrics, quantify the impact of our marketing efforts, and partner with cross-functional teams to drive business growth.

Responsibilities

• Define, maintain, and enhance reporting frameworks and key performance indicators (KPIs) that provide visibility into customer lifecycle and campaign performance.
• Perform deep-dives into existing data—including customer journey, campaign results, and business performance metrics—to identify and prioritize opportunities for growth and retention.
• Relentlessly quantify the incremental impact of marketing initiatives and strategic decisions using causation and attribution analysis.
• Partner with marketing teams to translate ideas into testable hypotheses and design, execute, and analyze A/B and multivariate tests that optimize campaign performance.
• Equip the leadership team with data-driven insights into ROI and business growth, using data visualization and storytelling to communicate findings and drive strategic decisions.
• Collaborate with Marketing Analytics, Marketing Tech, Data Engineering, Finance, and other teams to provide and communicate data-driven recommendations to the business.

Requirements

• Bachelor's or Master's degree in Statistics, Mathematics, or another data-related field.
• 2+ years of industry experience in experimental design and A/B testing; experience in a B2C environment.
• Hands-on experience with A/B testing, including experimental design, analysis, power calculations, assessment of statistical significance, and strong expertise in causal inference.
• Proven track record of completing multiple end-to-end A/B test projects, including ideation, defining key metrics, formulating hypotheses, experimental setup and execution, results analysis, interpretation of findings, and providing actionable recommendations.
• Strong understanding of A/B testing metrics, such as click-through rate (CTR), retention rate, lifetime value, conversion rate, bounce rate, and revenue.
• Experience using Python or R for analysis and automation.
• Familiarity with Adobe Analytics, Salesforce CDP, and AWS Redshift.
• Highly curious and detail-oriented, with strong problem-solving skills and the ability to translate data into actionable insights.
• Strong data storytelling skills for presenting analysis to both technical and non-technical stakeholders.

Benefits

• Comprehensive health, dental, and vision insurance.
• Eligibility for bonus and equity.
• Location flexible work approach.
• Competitive compensation package.