Marketing Analytics-Senior Associate

Responsibilities

• Support financial and analytical optimization across the campaign lifecycle, from opportunity sizing through performance measurement
• Execute experimentation strategies by framing hypotheses, designing test and control approaches, and aligning on success metrics
• Support campaign execution by validating audience selection, measurement feasibility, and operational requirements
• Build impact models and financial business cases to guide audience, offer, channel, and funding decisions
• Develop reusable frameworks to evaluate incrementality, profitability, and return on investment using forecasts versus actual results
• Produce clear performance reporting and post-test readouts with actionable recommendations for senior stakeholders
• Leverage and help evolve analytic tooling and data environments to improve speed, scale, and consistency of insights
• Partner across modeling, finance, channels, and delivery teams to ensure solutions are implementable and aligned to standards
• Define and advocate for data requirements, including addressing data gaps, data quality, and lineage considerations
• Coach and develop junior team members on analytical methods, documentation practices, and stakeholder-ready storytelling

Requirements

• Bachelor’s degree in an applicable field and 3+ years of marketing data and analytics experience
• Proficiency in data analysis languages/tools such as SQL, Python, SAS, R (or comparable).
• Experience with relational databases and big data platforms, including Snowflake.
• Hands-on experience delivering financial analytics and performance insights, including test design, pro forma estimates, and actual results measurement
• Proven ability to influence and communicate with senior stakeholders using clear, concise narratives
• Demonstrated experience supporting marketing strategy and end-to-end campaign execution
• Strong analytical reasoning and structured problem-solving skills, with the ability to translate complex data into actionable insights
• Working knowledge of extract, transform, and load concepts and how data pipelines impact analytics outcomes
• Experience building or using dynamic, self-serve reporting solutions and automated dashboards

Preferred

• Experience using measurement approaches for attribution and incrementality across multiple channels
• Experience with scalable measurement frameworks that support auditability and repeatability
• Advanced experimentation expertise, including power considerations and practical test constraints

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.