Sr. Marketing Analyst

Accountabilities:

• Own the measurement strategy for B2B marketing and pipeline performance, defining key metrics, calculation methodologies, reporting standards, and data sources.

• Analyze marketing channels and campaigns to determine their contribution to qualified leads, opportunities, pipeline, and closed business, helping guide future demand-generation investment.

• Develop leading-indicator reporting and forecasting frameworks that provide marketing and sales leadership with early visibility into pipeline health.

• Own the B2B attribution model, including touchpoint and channel definitions and data flows across marketing automation, CRM, and data warehouse systems.

• Manage end-to-end B2C acquisition and registration analytics, measuring funnel performance, channel attribution, user behavior, and conversion.

• Measure paid acquisition efficiency, including cost per registration, cost per qualified lead, and the relationship between marketing spend and user conversion.

• Partner with Growth Marketing and Lifecycle teams to size opportunities, design and evaluate growth experiments, troubleshoot tracking issues, and maintain day-to-day reporting.

• Build and maintain dashboards and self-service analytics that enable marketing, growth, lifecycle, and leadership teams to answer recurring business questions independently.

• Own organic search analytics across page types, traffic sources, and user journeys, while monitoring changes in organic performance and measuring the impact of product and algorithm changes.

• Partner with Product and Data Engineering teams to define event tracking, data models, semantic-layer requirements, and measurement foundations.

• Champion rigorous analytical practices through reproducible SQL, documented methodologies, validated results, and careful distinction between correlation and causation.

• Review and pressure-test analyses from other analysts and business partners, improving the quality and clarity of insights.

• Act as the subject matter expert for acquisition-funnel data, ensuring analyses begin with accurate sources, definitions, and methodologies.

• Contribute to dbt models and self-service analytics infrastructure while serving as the business voice for measurement requirements and quality assurance.

• Promote AI-assisted analytics by applying modern AI tools responsibly, developing reliable workflows, and helping colleagues adopt effective approaches.

• Present findings and recommendations to senior leaders with a clear explanation of the insight, business implications, and recommended next steps.

• Mentor fellow analysts informally and share analytical techniques and best practices across the team.

Requirements:

• Bachelor’s degree in Business Administration, Data Science, Statistics, Economics, Marketing, or a related field; a Master’s degree is a plus.

• 5+ years of experience in marketing analytics, growth analytics, data analytics, or a closely related analytical function.

• Demonstrated experience owning marketing measurement end to end, from tracking implementation through reporting, analysis, and recommendations.

• Hands-on experience with consumer acquisition data and web analytics or paid media platforms such as GA4, Meta, Google Ads, or equivalent tools.

• Direct experience with B2B marketing and pipeline analytics, including lead and MQL lifecycles, multi-touch attribution, campaign contribution, pipeline generation, and conversion through closed business.

• Experience working with marketing automation, CRM, and attribution platforms such as Marketo, Marketo Measure, and Salesforce, including diagnosing data-quality and integration issues.

• Senior-level proficiency in SQL, with the ability to independently write, review, troubleshoot, and validate complex queries.

• Strong proficiency with data visualization and dashboarding platforms such as Streamlit, Tableau, Looker, or similar tools.

• Working knowledge of modern data stacks, including Snowflake, dbt, and version-controlled analytics workflows.

• Experience with experimentation and quantitative methods, including designing and evaluating A/B and growth tests and accurately interpreting statistical signals.

• Strong ability to translate complex analytical findings into clear, actionable recommendations for non-technical stakeholders.

• Excellent judgment around data limitations, with the confidence to clearly communicate when available data cannot reliably answer a business question.

• Experience working effectively in fast-paced, cross-functional environments with shifting priorities and ambiguity.

• Demonstrated ability to operate as a senior individual contributor, influence without authority, work independently on complex problems, and mentor peers.

• Practical experience using AI-assisted analytics tools such as Claude Code, with a rigorous approach to validating AI-generated outputs.

• Experience with Python or R is a plus.

• Experience with SEO analytics, including indexation, page-level organic performance, and technical SEO measurement, is a plus.

• Experience contributing to semantic layers or self-service metrics platforms is a plus.

• Background in SaaS, education technology, marketplace analytics, or the education sector is a plus.

Benefits:

• National target base salary of $93,760-$117,200 USD, depending on experience and skills.

• Annual bonus and stock option program participation.

• Fully flexible work model, allowing employees to work remotely, from an office, or through a combination that suits their needs.

• 100% company-paid employee health plan, including vision, dental, and supplemental coverage.

• Flexible Paid Time Off policy.

• Work-from-home office stipend.

• 12 weeks of fully paid parental leave for all employees, plus short-term disability for birthing parents.

• 401(k) plan with employer match.

• Opportunity to make an immediate impact on products and services used by millions of people.

• Collaborative environment focused on employee well-being, meaningful work, and celebrating team achievements.

• Position available only to candidates legally authorized to work in the United States without current or future sponsorship.

• Hiring is currently limited to eligible U.S. states where the organization has employees.

• Interviews are conducted remotely.

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