Marketing Data Analyst

. Build the reporting and analytics function for Marketing Operations .

Posted 10/24/2026full-timeRemote • United StatesMid-LevelSenior💰 $115,000 - $148,000 per yearWebsite

Tools & technologies

PythonSQL

Key responsibilities & impact

Build the reporting and analytics function for Marketing Operations
Own the answer to what is working and where to invest next
Partner with the Director of Marketing Operations on the weekly GTM report for leadership
Partner with Decision Intelligence and Data Engineering teams on AI analytics agents and the GTM data foundation
Automate recurring GTM analytics, including weekly reporting, campaign and sales-play readouts, scoring-model checks, and anomaly alerts
Design and improve AI agents, write evaluation cases, and quality-assure their output
Own Marketing and GTM KPI definitions, calculation logic, and weekly leadership reporting
Measure marketing campaigns and SDR/AE sales plays from first touch through closed-won using pre/post and cohort analysis
Create reusable campaign and sales-play reporting templates with consistent definitions, time windows, and attribution rules
Own Dreamdata and evolve multi-touch, sourcing, SDR-credit, and partner-attribution practices
Reconcile attribution with Salesforce and HubSpot and turn results into budget recommendations
Evaluate and improve MQL, PQL, and account-intent scoring models
Define and report partner and business-development performance
Define GTM source-of-truth datasets, provide semantic context for AI analytics agents, and drive upstream data-quality fixes

What you’ll need

Ability to turn vague or complex GTM questions into clear, answerable questions
Understanding of the B2B funnel, including MQL, SAL, SQL, and Closed Won
Strong SQL skills in a data warehouse and across Salesforce objects
Experience reconciling messy data across systems and fixing data-quality issues at the source
Experience owning or improving a multi-touch attribution setup and reconciling it with CRM data
Experience evaluating or tuning lead, PQL, or account scoring models and measuring conversion impact
AI-native experience building AI agents or agentic analytics workflows, such as Claude Code, MCP servers, or n8n
Experience building dashboards and recurring reports in a BI tool
Experience owning KPI definitions
Typically ~3–5 years in marketing analytics, GTM or revenue analytics, or a similar analytical role at a B2B SaaS company, or equivalent demonstrated experience (preferred, not required)
Hands-on experience with Dreamdata, HockeyStack, Bizible, or similar attribution tools, plus HubSpot and Salesforce reporting (preferred)
Python and experience with dbt, semantic layers, or metric stores (preferred)
Experience with intent data or partner attribution (preferred)
Experience at a usage-based, developer-focused, or product-led business (preferred)

Comp & perks