Sr. Marketing Analytics Manager

About the role

You will independently lead cross-functional initiatives and manage senior marketing stakeholders within a fast-paced environment. This role focuses on translating complex data into clear narratives to guide strategic business decisions. You will act as a strategic partner to leadership, identifying business health trends and prescribing operational solutions.

Key facts

What you'll do

• Design and maintain dashboards tracking pipeline, ROI, funnel conversion, and campaign performance.
• Develop attribution models, lead scoring logic, and funnel stage definitions alongside Marketing Operations.
• Define and enforce data governance standards to ensure alignment between Finance, Sales, and Marketing.
• Perform deep-dive analyses on audience segmentation, channel mix, and campaign effectiveness.
• Create predictive, regression, and cohort models to assess conversion and retention drivers.
• Produce executive-level reports that summarize performance and provide actionable takeaways.
• Collaborate with Demand Gen and Finance to build inbound demand models using a reverse funnel approach.
• Create intuitive self-service reporting environments to enable business teams to access data at scale.

Requirements

• 6-8 years of quantitative experience in data analytics, business operations, or management consulting.
• 2-3 years of people management experience.
• Background supporting CMO, Digital, and Field Marketing teams in a B2B environment.
• Proven ability to build demand generation, predictive, and multi-touch attribution models.
• Expertise in SQL, including at least 2 years of building new data models via DBT and GitHub.
• Proficiency in Google Sheets, including scripting, data validation, conditional formatting, pivot tables, and advanced formulas.
• Experience with Salesforce, Marketo, GA4, Amplitude, and Thoughtspot.
• Familiarity with SLG and PLG go-to-market strategies and API management.
• Ability to navigate unstructured problems and prioritize workstreams with minimal oversight.

Skills & tools

• SQL, DBT, GitHub
• Google Sheets (Advanced)
• Salesforce, Marketo, GA4, Amplitude, Thoughtspot
• Attribution modeling, predictive modeling, demand generation, reverse funnel planning
• API management

Practical notes

• Navan requires employees to work from the office four days per week.
• Compensation is determined by factors including work location, internal parity, market demands, and individual experience.
• The company provides comprehensive benefits, including equity plans, retirement savings, and paid parental leave.
• If you require disability-related accommodations during the application process, contact talent-accommodations@navan.com.
• Official Navan recruiters will only contact you via @navan.com, @navan.tech, or @talent.navan.com email addresses.