Quant Analytics Associate

The successful candidate is analytically and technically strong, communicates clearly with senior stakeholders, operates with a consultative mindset, and brings innovative analytical approaches to convert complex data into actionable insights. Job Responsibilities- Develop analytic assets and frameworks to evaluate campaign incrementality, profitability, and ROI (e.g., forecast/proforma vs. actuals, attribution/measurement approaches where relevant). Leverage and help evolve the analytics toolset, including Snowflake and emerging AI-enabled analytical applications, to improve speed, scale, and consistency of insights. Collaborate across functions (modeling, finance, marketing channels, and execution/delivery teams) to ensure solutions are implementable, controlled, and aligned to standards. Advocate for and define data requirements needed to monitor performance, targeting, and execution; partner with data teams to address data gaps, quality, and lineage considerations. Maintain and enhance processes and controls supporting measurement quality, repeatability, and auditability of results. Required qualifications, capabilities and skills - 2+ years of related Marketing Data & Analytics experience. Master's degree in a related field, or Bachelor's degree + 5+ years experience in a related discipline. Exceptional collaboration and interpersonal skills; ability to explain complex quantitative topics (e.g., statistics, algorithms, data structures) clearly and influence decision-making across business and technical partners. Demonstrated experience with business marketing strategy and tactical lifecycle execution. Proficiency in data analysis languages/tools such as SQL, Python, SAS, R (or comparable). Experience with relational databases and big data platforms, including Snowflake. Strong analytical reasoning, interpretive ability, and structured problem solving.