As a Sr. Marketing Analytics Manager, you will be responsible for independently leading cross functional projects and managing senior marketing stakeholders. The ideal candidate will have a deep understanding of marketing and revenue analytics and be able to effectively communicate complex data to key stakeholders. We are looking for someone comfortable operating at a high pace of change that matches the speed of our business.
What You’ll Do:
Build & Maintain Marketing Analytics Infrastructure
- Build and maintain dashboards and reports that track pipeline, campaign performance, funnel conversion, and ROI.
- Create business and technical requirements and documentation and leading marketing team’s enablement.
- Develop and maintain attribution models, lead scoring logic, and funnel stage definitions in partnership with MOps.
- Establish and enforce data governance standards for the marketing organization to ensure that Finance, Sales, and Marketing are aligned on a single source of truth.
- Ensure data quality and integrity across marketing data sources; troubleshoot discrepancies and build validation checks.
Deliver Actionable Analysis & Insights
- Conduct deep-dive analyses on campaign effectiveness, channel mix, audience segmentation, and pipeline contribution.
- Build cohort analyses, regression models, or predictive models to identify what drives conversion and retention across marketing-sourced pipeline.
- Create weekly, monthly and quarterly performance reports for marketing leadership, including executive-ready summaries with clear takeaways.
- Serve as a strategic partner to marketing leaders, proactively diagnosing business health and prescribing specific operational interventions without waiting for top-down direction.
- You will go beyond "what happened" to determine "why it happened" and "what we should do next."
Support Planning & Performance Management
- Leverage reverse funnel approach to build the Inbound demand model in collaboration with the Demand Gen and Finance teams.
- Build baseline targets and set campaign targets.
Collaborate Across Teams
- Lead cross-functional projects to develop and implement new marketing initiatives.
- Drive the adoption of self-service analytics by designing intuitive reporting environments that allow business teams to answer their own questions at scale.
What We're Looking For:
- 6-8 years of quantitative experience in Marketing & Data Analytics, Business Operations, or Management Consulting with 2-3 years of people management experience.
- Experienced working in a B2B business supporting CMO, Digital and Field Marketing teams.
- Built multi-touch attribution, predictive, and demand gen models.
- Exceptional attention to detail (you pride yourself on this).
- A self-directed mindset with the ability to ruthlessly prioritize workstreams and navigate unstructured business problems with minimal supervision.
- Expertise in translating complex analyses into concise, executive-level narratives that drive immediate strategic decisions.
- Proficient in Google Sheets, including advanced formulas, pivot tables, vlookup, data validation, conditional formatting and scripting.
- Expert level SQL skills; capable of data modeling from scratch using DBT/GitHub (ideally 2+ years of experience building net new data models).
- Experience with Salesforce, Marketo, GA4, Amplitude, Thoughtspot, SLG & PLG GTM Strategies and API management.
The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.
For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.
Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.
Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.
Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.
Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.
Navan Palo Alto, California, USA Office
3045 Park Blvd, Palo Alto, CA, United States, 94304
Navan San Francisco, California, USA Office
181 Fremont St. 23rd Floor , San Francisco, CA, United States, 94105
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