Marketing Operations Analyst

Role overview

This opportunity is presented for a partner employer that handles the application review and hiring process directly. The company is seeking a Marketing Operations Analyst located in Germany.

The position is central to marketing performance and revenue operations, with responsibility for ensuring that leads, campaigns, and conversions are tracked, measured, and improved throughout the full funnel.

You will help design and maintain the systems that connect marketing activity with revenue outcomes, including attribution logic, lifecycle tracking, and automation workflows.

In close collaboration with RevOps, Marketing, and Sales, you will support consistent data across platforms such as HubSpot, GA4, and CRM tools.

The role blends analytical thinking with practical operations work, especially across tracking setup, lead handling, and campaign analysis.

You will also contribute to improving how marketing results are reported, interpreted, and used in decision-making across the business.

This is a strong fit for someone who wants ownership of both the technical and analytical sides of marketing systems.

It provides significant exposure to revenue operations and strategic work in a fast-moving SaaS environment.

Key responsibilities

• Take ownership of marketing analytics and tracking architecture, including GA4, GTM, Mixpanel, HubSpot, and paid media pixels to keep conversion and behavior tracking accurate.
• Create, update, and improve dashboards covering funnel health, campaign ROI, SEO contribution, and paid acquisition performance.
• Run HubSpot operations such as workflows, lead routing, segmentation, scoring, and lifecycle automation across the revenue journey.
• Manage lead data quality activities, including enrichment, validation, list cleanup, and syncing across tools such as Clay, HubSpot, and Salesforce.
• Contribute to marketing attribution methods such as first-touch, last-touch, and linear models, and complete manual attribution work when required to maintain revenue accuracy.
• Set up and execute A/B tests, including event tracking, data layer coordination, and analysis of experiment outcomes.
• Track website and funnel performance, spot irregularities, diagnose traffic issues, and identify areas for optimization.

Requirements

• At least 2 years of experience in marketing operations, marketing analytics, or RevOps within a SaaS or digital business environment.
• Practical, hands-on experience with HubSpot, especially workflows, automation, lead management, and segmentation.
• Strong working knowledge of GA4, Google Tag Manager, and conversion tracking implementation.
• Clear understanding of the B2B SaaS funnel, including MQL, SQL, Opportunity, and Revenue stages, plus lifecycle management.
• Experience using A/B testing tools and working with experimentation methods.
• Good command of SEO analytics and performance evaluation.
• Advanced English skills, both written and spoken.
• Ability to work in alignment with US time zones, specifically Eastern or Pacific.

Benefits and additional information

• Remote-first setup with flexible working arrangements.
• 20 paid days off per year, in addition to US public holidays.
• Reimbursement support for professional development, learning, and skill building.
• Opportunity to work in a fast-growing SaaS company with strong product-market fit.
• Close collaboration with leadership across RevOps, Marketing, and Sales.
• Direct ownership of important marketing systems and revenue data infrastructure.

Application and hiring process

Applications are handled by the partner employer. Their team is responsible for reviewing candidates and managing the following hiring steps, including interviews and assessments.

A matching system is used to compare applications against the role’s core requirements before a shortlist is passed to the hiring company. Final decisions are made by the employer’s internal team.

Data privacy and AI notice

By submitting an application, candidates agree that their personal data may be processed to assess candidacy and shared with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws, including GDPR. Applicants may request access, correction, deletion, or objection at any time.

AI tools may be used to support parts of the hiring workflow, such as application review, resume analysis, response evaluation, and checking for possible inconsistencies or verification signals. These tools assist recruiters but do not replace human judgment, and final hiring decisions are made by people.