Data Analyst

Data Scientist III – CRM & Lifecycle Marketing Analytics

Location: Remote – Must work PST hours

Pay Rate: *85/hour

Experience: 7–10 years

Application Deadline: August 3 at 11:00 AM PST

Interview Window: August 10–14

The Opportunity

We’re seeking an experienced Data Scientist to join a high-impact CRM Marketing Analytics team supporting large-scale lifecycle marketing programs. This is an opportunity to influence customer engagement, retention, conversion, and revenue by transforming complex campaign data into clear, actionable strategies.

You’ll work closely with marketing stakeholders, analyze campaigns primarily executed through Braze, build scalable data solutions, lead experimentation, and help improve how the organization uses data and AI throughout the customer lifecycle.

What You’ll Do

• Measure and optimize lifecycle campaigns across email, push notifications, SMS, in-app messaging, and other owned channels.
• Analyze Braze campaign performance and identify opportunities to improve targeting, personalization, engagement, and retention.
• Write complex SQL queries to extract, join, transform, and validate customer and campaign data.
• Build and support SQL data pipelines for scalable marketing analytics.
• Use Python for advanced analysis, experimentation, automation, and reporting.
• Design and evaluate A/B and multivariate experiments.
• Analyze customer journeys, funnels, cohorts, segmentation, churn, retention, LTV, and engagement.
• Build automated dashboards using Qlik Sense, Tableau, Power BI, or another visualization platform.
• Define standardized CRM KPIs and reporting frameworks.
• Present complex findings as clear recommendations for marketing stakeholders.
• Use AI tools to streamline reporting, accelerate analysis, and automate repetitive workflows.
• Validate AI-generated outputs for accuracy and business alignment.

What You’ll Bring

• 7–10 years of professional data science or analytics experience.
• Direct CRM and lifecycle marketing analytics experience.
• Hands-on Braze experience.
• Advanced SQL and SQL data-pipeline experience.
• Professional Python data-analysis experience.
• Strong A/B testing and experimentation expertise.
• Experience measuring lifecycle campaigns and CRM KPIs.
• Dashboard-development and data-storytelling experience.
• Hands-on professional experience with AI-enabled analytics or reporting tools.
• Ability to work remotely during PST hours.

Preferred Experience

• Qlik Sense.
• AI agents, prompt engineering, or workflow automation.
• Regression, forecasting, and predictive modeling.
• Experience mentoring or reviewing the work of junior analysts.

Interview Process

• First Round: SQL coding and data-analytics assessment.
• Second Round: Experimentation case discussion and formal interview.

This is a fast-moving opportunity with interviews planned between August 10 and August 14. Please apply with your most recent resume clearly showing your Braze, lifecycle marketing, SQL, Python, experimentation, dashboarding, and AI-tool experience.The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Responsibilities

• Understand the day-to-day issues that our business faces, which can be better understood with data
• Compile and analyze data related to business' issues
• Develop clear visualizations to convey complicated data in a straightforward fashion

Qualifications

• Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience
• 1 - 2 years' Data Analysis experience
• Proficient in SQL