Responsibilities

• Developing advanced analytical models, extracting insights from customer and campaign data, and shaping strategies that drive acquisition, engagement, and retention across global markets.
• Partner with Growth, Marketing, and Product teams to translate data into actionable strategies that power performance marketing, experimentation, and personalization.
• Bridge between data science and marketing strategy, ensuring complex analysis is distilled into clear recommendations for business stakeholders.
• Enable smarter decision-making, campaign measurement, and uncovering new growth opportunities through predictive and behavioral modeling.
• Data Modeling & Predictive Analytics: Build and maintain predictive and prescriptive models to support growth, customer segmentation, and retention strategies; Analyze historical data to forecast campaign performance and identify new growth opportunities; Ensure models are scalable, accurate, and aligned with business objectives.
• Data Strategy: Provide guidance on how marketing and customer data should be structured and maintained for analytics and activation; Collaborate with technical and marketing teams to design frameworks for data governance, quality, and accessibility; Recommend optimizations to the overall marketing data ecosystem to support campaign effectiveness and personalization.
• Insights & Business Translation: Translate model outputs into actionable recommendations for Growth, Marketing, and Product teams; Communicate insights in a clear, business-focused way to inform strategic decision-making.
• Experimentation & Measurement Support: Partner on the design and analysis of A/B tests and marketing experiments to validate models and hypotheses.
• Collaboration & Enablement: Act as the analytics partner for cross-functional teams, mentoring team members on data-informed decision-making.

Requirements

• Bachelor’s or master’s degree in a quantitative field (Statistics, Economics, Marketing Analytics, Data Science, or related).
• 5+ years of experience in data science, marketing analytics, or a related field.
• Strong ability to design and operationalize analytical models that inform marketing strategies required.
• Expert proficiency in SQL for data querying and wrangling, with ability to work across large and complex datasets required.
• Skilled foundation in experimental design and analysis, including A/B testing, attribution, and forecasting methods.
• Proven success in translating complex analysis into clear business insights.
• Ability to balance long-term strategic initiatives with immediate business needs.
• Hands-on experience with Python or R for statistical modeling, predictive analytics, and machine learning.
• Proficiency with BI and data visualization tools (PowerBI, Tableau, or similar) to deliver actionable insights.
• Familiarity with marketing data environments such as CDPs, CRMs, and campaign orchestration platforms.
• Understanding customer metrics (CAC, CLV, churn, retention) and how to apply them in growth and marketing contexts.
• Prior experience working with cross-functional and geographically distributed teams.

Preferred

• Prior experience supporting growth or marketing teams preferred.

Benefits

• Medical
• Dental
• Vision
• Flexible spending accounts
• Life and accident coverage
• Disability
• Depending on position, paid time off, parental leave and holidays (speak to your recruiter for additional information)
• Wish day paid time to volunteer at an approved organization of your choice
• 401k with employer match (subject to eligibility requirements, including tenure - speak to your recruiter for additional information)
• Legal and identify theft plan
• Voluntary income protection benefits
• Wellness program (subject to provider availability)
• Employee Assistance Program