About The Position

As a Senior Associate for Marketing Analytics on the Small Business Decision Sciences team, you will deliver analytics across the end-to-end marketing campaign lifecycle, with a focus on acquisition campaigns. You will partner with stakeholders to develop business cases, model impact, design tests, support execution, and measure results with financial discipline. The role requires a consultative approach to translating complex data into clear recommendations on audience, offer, channel, and funding decisions, while strengthening measurement quality through repeatable processes, controls, and well-defined data requirements. You will collaborate with Marketing, Modeling, Finance, and Data & Analytics partners to help leaders make informed decisions. The position offers high visibility and meaningful impact through experimentation, rigorous measurement, and clear communication of insights.

Requirements

  • At least 3 years of related Marketing Data & Analytics experience.
  • Master’s degree in a related field, or Bachelor’s degree plus at least 3 years of experience in a related discipline.
  • Hands-on experience delivering financial analytics and performance insights, including campaign test designs, estimation proformas, and actual performance measurement.
  • Experience with marketing strategy and campaign lifecycle execution.
  • Proficiency in analytics languages or tools such as SQL, Python, SAS, R, or comparable tools.
  • Experience with relational databases and big data platforms, including Snowflake.
  • Strong analytical reasoning, interpretive ability, and structured problem-solving skills.
  • Technical understanding of data extraction, transformation, and load concepts (ETL/ELT) and how data flows affect analytics outcomes.
  • Experience with dynamic, interactive self-serve business intelligence tools for dashboarding and automated reporting.
  • Strong written and oral communication skills, including creating executive-ready narratives and clearly presenting complex findings.
  • Strong collaboration and interpersonal skills, including the ability to explain quantitative topics clearly and influence decisions across business and technical partners.

Responsibilities

  • Lead financial and analytical optimization of marketing programs across opportunity sizing, targeting, test design, execution support, reporting, and insights.
  • Manage stakeholder relationships and delivery for assigned marketing partners, including intake, prioritization, scoping, timelines, and outputs aligned to campaign calendars.
  • Drive experimentation strategy and measurement rigor, including hypotheses, test/control design, success metrics, post-test readouts, and support for execution and measurement feasibility.
  • Apply predictive models and measurement insights to investment planning and optimization across audience, offer, channel, and funding decisions.
  • Build analytic assets and frameworks to evaluate incrementality, profitability, and return on investment, including forecast/proforma versus actuals and attribution approaches where relevant.
  • Leverage and help evolve the analytics toolset, including Snowflake and emerging AI-enabled analytics applications, to improve speed, scale, and consistency.
  • Partner across modeling, finance, marketing channels, and delivery teams to ensure solutions are implementable, controlled, and aligned to standards.
  • Define and advocate for data requirements to monitor targeting, execution, and performance; partner with data teams to address data gaps, quality, and lineage.
  • Maintain and enhance processes and controls that support measurement quality, repeatability, and auditability.

Benefits

  • Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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