Sr. Marketing Analyst who owns the marketing analytics stack, builds attribution and predictive models, leads cross-functional projects, and serves as a strategic partner to marketing leaders by delivering actionable insights and data governance. Requires 6-8 years quantitative analytics experience including people management, expert SQL and data modeling, and B2B marketing analytics proficiency.
105k – 234k
On-site6+ YOEData Analytics
About the role
What You’ll Do
Own the marketing analytics stack—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.
Lead cross-functional projects to develop and implement new marketing initiatives.
Go beyond "what happened" to determine "why it happened" and "what we should do next."
Serve as a strategic partner to marketing leaders, proactively diagnosing business health and prescribing specific operational interventions without waiting for top-down direction.
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.
Drive the adoption of self-service analytics by designing intuitive reporting environments that allow business teams to answer their own questions at scale.
Ensure data quality and integrity across marketing data sources; troubleshoot discrepancies and build validation checks.
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.
Leverage reverse funnel approach to build the Inbound demand model in collaboration with the Demand Gen and Finance teams.
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.
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.
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