Marketing Ops Lead — Data-Driven Attribution (Remote)

Jet HR; Piemonte; Hybrid; EUR 50,000 - 65,000; Full time

Benefits offered by this job

Salary €50k-€65k gross/yr

Real impact

Ownership

Startup environment

Hybrid work/Remote option

Job summary

Jet is transforming Italian business admin through a unified platform. We’re seeking a data-driven leader to own end-to-end measurement, marketing analytics, and funnel optimization.

You’ll define and automate dashboards, forecasts and lead scoring with RevOps and Growth, driving measurable impact. You will lead data quality and reporting across HubSpot, marketing channels and the tech stack, partnering with the Central Data Team to ensure clean, actionable insights.

Qualifications

• 5+ years in Marketing Ops, RevOps or Marketing Analytics with budget/pipeline targets.
• Deep HubSpot expertise with lifecycle stages, workflows and reporting.
• Strong data mindset; able to track, validate attribution and align metrics across teams.

Responsibilities

• Own measurement end to end: attribution model, forecast and budget tracking with RevOps, Growth and CMO.
• Make marketing data clean and usable: define data quality and dashboards; collaborate with Central Data Team.
• Challenge marketing strategy with data and speak up when numbers don’t support bets.
• Own funnel performance and lead scoring; align definitions across RevOps, Data, SalesOps and Growth; improve efficiency.
• Automate reporting and build tools to deliver answers without manual work.

Skills

Marketing Ops

RevOps

HubSpot

SQL

Snowflake

dbt

Metabase

Tools

HubSpot

Snowflake

dbt

Metabase

SQL

Job description

Jet is transforming Italian business admin through a unified platform. We’re seeking a data-driven leader to own end-to-end measurement, marketing analytics, and funnel optimization.

You’ll define and automate dashboards, forecasts and lead scoring with RevOps and Growth, driving measurable impact. You will lead data quality and reporting across HubSpot, marketing channels and the tech stack, partnering with the Central Data Team to ensure clean, actionable insights.