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Senior Marketing Analyst
Amplitude · San Francisco
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What Amplitude asks for
From Amplitude's Senior Marketing Analyst ad, checked 5 Nov 2026.
B2B SaaS funnel analysis
Analyzing B2B SaaS marketing funnels to understand lead generation, pipeline performance, and how these factors drive return on investment.
SQL and complex datasets
Using SQL to extract and manipulate information from large, varied data sources to create a foundation for business insights.
Tableau or CRMA dashboards
Designing and maintaining automated dashboards in Tableau, Salesforce CRM Analytics, or similar Business Intelligence tools to track marketing goals.
Ambiguous problem solving
Taking vague business questions and independently building an analytical framework, testing hypotheses, and delivering a clear recommendation.
AI for data analysis
Applying AI tools to improve the speed or depth of analysis while ensuring the quality of the data remains high.
The ad asks for 5 or more years of experience in marketing, business or GTM analytics. Based in San Francisco, California.
How the example answers the ad
Four of the five requirements above, each matched to a line in the example.
Tableau or CRMA dashboards
“Architected automated Tableau dashboards tracking global marketing spend across 12 regions, reducing manual reporting time by 20 hours per week”
Creating automated Tableau dashboards for twelve global regions to reduce manual reporting time shows skill with Tableau or CRMA dashboards.
AI for data analysis
“Integrated AI tools to clean 50,000+ CRM entries, increasing data accuracy scores from 78% to 96% for quarterly stakeholder reporting”
Processing 50,000 CRM entries with AI tools to improve accuracy scores for reporting shows experience in AI-assisted analysis.
B2B SaaS funnel analysis
“Optimized B2B SaaS funnel analysis by building a SQL attribution engine that tracked lead velocity across 4 distinct customer personas”
Tracking lead velocity for four personas demonstrates the B2B SaaS funnel analysis requirement, while the attribution engine shows its application to lead generation and pipeline performance.
SQL and complex datasets
“Maintained core reporting infrastructure for the marketing team using SQL queries to extract campaign performance data from Snowflake”
Querying campaign data from Snowflake covers the SQL and complex datasets requirement by extracting information from a large, cloud based data source to support reporting.
The whole example as text
Zara Ibrahim · Senior Marketing Analyst
Summary
Senior Marketing Analyst with 6 years of experience in B2B SaaS analytics. Transforms complex datasets into actionable insights using SQL, Python, and advanced attribution modeling. Drives marketing performance by optimizing MQL to SQL conversion funnels and automating cross-departmental reporting. Implements AI-driven data cleansing workflows to improve model accuracy and executive decision-making speed.
Experience
Senior Marketing Analyst · Salesforce
San Francisco, CA · 2024 - Present
- Led end to end project to redefine MQL to SQL conversion benchmarks, resulting in a 14% improvement in lead qualification efficiency
- Architected automated Tableau dashboards tracking global marketing spend across 12 regions, reducing manual reporting time by 20 hours per week
- Applied Python predictive modeling to analyze customer churn patterns, identifying key segments for a 10% increase in upsell revenue
- Integrated AI tools to clean 50,000+ CRM entries, increasing data accuracy scores from 78% to 96% for quarterly stakeholder reporting
- Presented quarterly strategic marketing recommendations to the VP of Marketing, directly influencing a 5% budget reallocation toward high-converting channels
Marketing Data Analyst · HubSpot
Cambridge, MA · 2022 - 2024
- Optimized B2B SaaS funnel analysis by building a SQL attribution engine that tracked lead velocity across 4 distinct customer personas
- Managed migration of marketing data from legacy systems to Snowflake, ensuring 100% data integrity during the 3-month transition
- Collaborated with sales operations to unify definitions of SQL, leading to a 12% rise in sales accepted lead rates
- Built automated Salesforce CRM Analytics dashboards for product marketing managers to monitor real-time campaign engagement
Junior Data Analyst · Zendesk
San Francisco, CA · 2020 - 2022
- Maintained core reporting infrastructure for the marketing team using SQL queries to extract campaign performance data from Snowflake
- Supported development of the annual marketing budget model, ensuring variance remained below 3% of projected targets
- Developed interactive visualization reports that tracked organic search traffic growth, contributing to a 15% increase in lead volume
- Assisted with data hygiene projects, utilizing Python scripts to standardize naming conventions for 10,000+ active campaign records
Education
MS in Data Science · University of Washington
Seattle, WA · 2018 - 2020
- Graduated with 3.9 GPA and Departmental Honors
- Completed thesis on predictive analytics for B2B subscription models
- Served as Teaching Assistant for Advanced Data Visualization courses
BS in Industrial Engineering · Georgia Institute of Technology
Atlanta, GA · 2014 - 2018
- Completed capstone project optimizing supply chain efficiency for a local firm
- Maintained position on the Dean's List for four consecutive semesters
- Participated in data science research group focusing on machine learning applications
Skills
Frequently asked questions
Is the example from an employee?
No. It is an AI-written example for this ad, made to show how a resume can answer it.
Where is this role located?
The ad mentions this role is for individuals who will work for Amplitude in the San Francisco Bay Area of California.
What technical tools do I need to know?
You must have strong SQL skills and experience with Tableau, CRMA, or equivalent dashboarding tools. Experience with Python or R is considered a plus.
Where do I apply?
On the official Amplitude posting, through the job link on this page.
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