Responsibilities

• Own measurement strategy and design for marketing effectiveness using advanced data science methodologies (A/B testing, Conversion lift studies, incrementality analysis, attribution models, marketing mix modeling)
• Take ambiguous, high-stakes business questions and independently frame them into structured analytical problems , applying creative data science approaches to deliver practical, scalable solutions
• Proactively identify measurement gaps and develop solutions before being asked; anticipate and solve complex measurement and data challenges
• Build reusable measurement frameworks that improve measurement quality, reduce time-to-insight, and set standards for analytics rigor across the organization
• Generate strategic insights through deep-dive analyses using SQL, Python, and Tableau to uncover growth opportunities and quantify incremental value of marketing investments
• Translate complex findings into clear, compelling narratives for C-suite and senior leadership to guide multi-million dollar budget decisions
• Drive cross-functional partnerships across marketing, finance, engineering, and data teams to implement measurement frameworks and ensure adoption
• Influence stakeholders at all levels to adopt data-driven decision-making and shape how the organisation measures marketing ROI among channel managers, advertising partners, senior leadership, finance, and data engineers.
• Promote measurement best practices and establish standards within the organization; stay current with industry advancements in experimentation, attribution, and measurement
• Mentor and raise the bar for analytics capabilities within the team and contribute to advancing the analytics discipline

Requirements

• Relevant degree in a quantitative discipline (Mathematics, Data Science, Engineering, Statistics, or related field) OR minimum 3+ years of experience in analytics, data science, or a related analytical role
• Experienced in measuring marketing effectiveness and channel ROI such as incrementality testing, marketing mix modeling (MMM), cleanroom, or other marketing measurement method or frameworks
• Demonstrated capability to independently frame ambiguous business problems into data science solutions within marketing analytics and drive end-to-end processes from data extraction to insight implementation
• Strong proficiency in SQL, Python, and Tableau for data extraction, analysis, modelling, and visualisation. Hands-on expertise applying statistical methods and experimentation techniques, including A/B testing, user-level testing, and causal analysis
• Ability to design and implement scalable analytical solutions across complex, multi-channel environments
• Excellent project management and cross-functional collaboration skills with ability to influence senior or cross-functional decision-makers
• Strong problem-solving ability in dynamic, ambiguous environments with capability to operate independently and drive initiatives to completion
• Strategic mindset with ability to connect data insights to business outcomes and guide multi-million dollar investment decisions

Preferred

• Prior experience working with paid social, programmatic, and paid app marketing channels and measurement frameworks

Benefits

• medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership.