Senior Marketing Data Analyst, Audience & Lifecycle

Classmates®; Bellevue (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Classmates.com is seeking a systems thinker who can work from source eventing through business decisions. You’ll help shape data inputs, define and activate audiences, design experiments, analyze results, and collaborate with leaders across Marketing, Product, BI/Data, and Engineering to turn evidence into better customer experiences.

This hands-on role involves large-scale consumer data and production activation in Snowflake and Salesforce Marketing Cloud, focusing on data quality, audience

Qualifications

• 5+ years of hands-on Salesforce Marketing Cloud experience supporting production lifecycle programs including audience segmentation and activation.
• Strong experience in lifecycle marketing analytics, audience segmentation, and marketing automation operations.
• Meaningful experience in consumer marketing or consumer product environments, working with individual customer behavior and lifecycle signals at scale.

Responsibilities

• Build, validate, and operate audience segmentation and activation workflows in Salesforce Marketing Cloud across lifecycle programs.
• Work directly with large-scale behavioral, lifecycle, transactional, engagement, and event data in Snowflake to identify meaningful audience patterns and opportunities.
• Help shape the source eventing and data inputs needed to answer important customer and business questions, partnering closely with Product, BI, and Engineering.
• Design rigorous experiments, analyze results, and use what we learn to continuously improve audience strategy, lifecycle experiences, and personalization.
• Build clear reporting and communicate findings to leaders so evidence can move quickly into decisions, operational rules, and better product experiences.

Skills

SFMC experience

Lifecycle analytics

Audience segmentation

SQL skills

Snowflake

Data-driven decisions

Experiment design

Reporting & analytics

Tools

Salesforce Marketing Cloud

Snowflake

Job description

Classmates.com has spent 30 years helping people reconnect with meaningful parts of their past. The demand has endured, the data has compounded, and the opportunity now is to become much more intelligent about how we create personalized experiences for individual members, graduating classes, and communities connected by shared history.

We’re looking for a systems thinker who can work from source eventing through business decisions. You’ll help shape the data inputs, define and activate audiences, design experiments, analyze results, and work with leaders across Marketing, Product, BI/Data, and Engineering to turn evidence into better customer experiences.

This is hands-on work across large-scale consumer data and production activation systems. You’ll work directly in Snowflake and Salesforce Marketing Cloud, where the quality of the data, audience logic, experiment design, and interpretation all matter because the resulting decisions affect millions of real consumers.

Local area candidates are encouraged to apply, and please note we are not able to offer visa sponsorship, visa transfer, or corp-corp arrangements.

Classmates.com has spent 30 years helping people reconnect with meaningful parts of their past. The demand has endured, the data has compounded, and the opportunity now is to become much more intelligent about how we create personalized experiences for individual members, graduating classes, and communities connected by shared history.

We’re looking for a systems thinker who can work from source eventing through business decisions. You’ll help shape the data inputs, define and activate audiences, design experiments, analyze results, and work with leaders across Marketing, Product, BI/Data, and Engineering to turn evidence into better customer experiences.

This is hands-on work across large-scale consumer data and production activation systems. You’ll work directly in Snowflake and Salesforce Marketing Cloud, where the quality of the data, audience logic, experiment design, and interpretation all matter because the resulting decisions affect millions of real consumers.

Local area candidates are encouraged to apply, and please note we are not able to offer visa sponsorship, visa transfer, or corp-corp arrangements.

Responsibilities

• Build, validate, and operate audience segmentation and activation workflows in Salesforce Marketing Cloud across lifecycle programs.
• Work directly with large-scale behavioral, lifecycle, transactional, engagement, and event data in Snowflake to identify meaningful audience patterns and opportunities.
• Help shape the source eventing and data inputs needed to answer important customer and business questions, partnering closely with Product, BI, and Engineering.
• Design rigorous experiments, analyze results, and use what we learn to continuously improve audience strategy, lifecycle experiences, and personalization.
• Build clear reporting and communicate findings to leaders so evidence can move quickly into decisions, operational rules, and better product experiences.

Skills and Experience

• 5+ years of hands-on Salesforce Marketing Cloud experience supporting production lifecycle programs, including audience segmentation and activation.
• Strong experience in lifecycle marketing analytics, audience segmentation, and marketing automation operations.
• Meaningful experience in consumer marketing or consumer product environments, working with individual customer behavior and lifecycle signals at scale.
• Advanced SQL skills and strong hands-on Snowflake experience working directly with large customer datasets.
• Strong analytical and reporting capability, including the ability to investigate ambiguous problems, validate data, interpret results, and communicate findings clearly to business and technical leaders.
• Hands-on experience designing and evaluating experiments, including incrementality, statistical testing, or other rigorous measurement approaches.
• Curious, driven, and energized by solving ambiguous, high-impact problems with smart, collaborative people.

See the full job description on our career site.