Lifecycle Marketing Analytics Lead

Remote Genie; EE. UU.; A distancia; USD 100.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive base salary

Stock options

Health benefits from Day 1

401(k) plan with company match

Remote-friendly (US)

Descripción de la vacante

OnePay is seeking a Marketing Analytics professional to build data infrastructure and measurement for lifecycle marketing. You will connect customer interactions across marketing and product to uncover insights and guide optimization of campaigns and product engagement.

You’ll work with marketing, product, engineering, and data teams to translate data into actionable recommendations. Ideal candidates have 3–7 years in marketing analytics, strong SQL and AI skills, and a bias toward action.

Formación

• 3-7 years of professional experience in marketing analytics with experience with lifecycle as a plus.
• Demonstrated track record in marketing analytics, including hands-on experience with attribution models, measurement frameworks, A/B testing, and campaign optimization.
• Advanced SQL and AI skills, with the ability to independently pull and analyze complex datasets.
• Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights.
• Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’.
• An act-like-an-owner mentality. We have a bias toward taking action.

Responsabilidades

• Analyze LCM performance and optimize campaigns and customer journeys.
• Develop data infrastructure and attribution frameworks for lifecycle marketing.
• Partner with marketing, product, engineering, and data teams to improve measurement.
• Leverage AI-powered tools to accelerate analysis and validate insights.
• Share insights with senior leadership to influence business direction.

Conocimientos

SQL

AI skills

Analytical thinking

Lifecycle marketing

Problem solving

Descripción del empleo

OnePay is seeking a Marketing Analytics professional to build data infrastructure and measurement for lifecycle marketing. You will connect customer interactions across marketing and product to uncover insights and guide optimization of campaigns and product engagement.

You’ll work with marketing, product, engineering, and data teams to translate data into actionable recommendations. Ideal candidates have 3–7 years in marketing analytics, strong SQL and AI skills, and a bias toward action.