Marketing Analytics – Lifecycle

This is a fully remote position, open to applicants in United States.

📋 Description

• Evaluate the performance of lifecycle marketing and pinpoint opportunities for optimizing campaigns and customer journeys.

• Convert analytical insights into practical recommendations that enhance business outcomes.

• Create data infrastructure, measurement frameworks, and attribution methods across various campaigns, channels, and product interactions.

• Collaborate with marketing, product, engineering, and data teams to enhance measurement capabilities.

• Link marketing efforts to product results and shape business and marketing strategies accordingly.

• Utilize AI-driven tools and techniques to expedite analysis and develop and validate predictive insights.

• Present insights and recommendations to senior leadership and stakeholders to guide business direction.

⛳️ Requirements

• 3-7 years of relevant experience in marketing analytics; experience in lifecycle marketing is a plus.

• Proven track record in marketing analytics.

• Practical experience with attribution models, measurement frameworks, A/B testing, and campaign optimization.

• Proficient in SQL and AI technologies.

• Capability to independently extract and analyze complex datasets.

• Strong analytical and problem-solving skills.

• Intellectual curiosity to explore the underlying causes of results.

• A proactive, owner-like mentality with a focus on taking initiative.

• Must have legal authorization to work in the United States.

• Advanced SQL skills, including multi-table joins, CTEs, window functions, and reusable tables or data models.

• Experience in designing and analyzing A/B or holdout tests from start to finish, including sample sizing and final reporting.

• Familiarity with building or managing measurement or attribution methods, such as holdout groups, incrementality testing, MTA, or MMM.

• Experience integrating event data from platforms like Braze, Iterable, or Salesforce Marketing Cloud with product or transaction data in a data warehouse.

🏝️ Benefits

• Competitive base salary.

• Stock options.

• Health benefits starting from Day 1.

• 401(k) plan with company matching.

• Remote-friendly work environment (within the US).

• Flexible time off (FTO).

• Opportunities for professional growth.

• A high-growth, mission-driven, and inclusive culture.

• AI-assisted initial screening process.

• Support or accommodation during the interview process or for website accessibility.