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Marketing Ops

Marketing Ops Analyst

  • $150K-$245KEst.
  • US
  • Confirmé
  • Remote
  • Full time
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Estimated salary

$150K-$245K

Based on 7 similar roles

Location

US

Setup

Remote

Posted

today

Ce que vous ferez

Accountabilities

- Build full-funnel reporting that connects marketing activity in HubSpot and similar tools with opportunities and closed-won revenue in Salesforce.

- Develop and maintain reports that make marketing and sales performance visible to executives and teams across the organization.

- Collaborate with marketing and sales stakeholders to define and document attribution models, including the distinctions between marketing-sourced and marketing-influenced opportunities.

- Establish consistent lead-source classifications, clarifying how leads are categorized as marketing-led, sales-led, or SDR-led.

- Partner with marketing to improve lead scoring processes and the flow of leads into Salesforce.

- Strengthen campaign ROI measurement to help teams identify successful initiatives, optimize spending, and redirect investment when needed.

- Align marketing and go-to-market teams around shared metric definitions and maintain a reliable, centralized source of truth.

- Use AI tools to create and refine reports and dashboards, incorporate stakeholder feedback, and publish validated outputs to the business intelligence platform on a regular refresh schedule.

- Analyze data proactively, using AI where appropriate, to identify trends, opportunities, and insights that support strategic decision-making.

Requirements:

- Approximately 3-5 years of professional experience, ideally in marketing operations, revenue operations, or a cross-functional go-to-market role.

- Strong analytical and problem-solving skills, with hands-on experience using Excel and business intelligence tools.

- Working knowledge of marketing concepts, metrics, and terminology, including marketing-qualified leads (MQLs).

- Experience working in a SaaS environment.

- Strong communication and interpersonal skills, including the ability to align stakeholders with different priorities around shared definitions and measurement practices.

- Curiosity about artificial intelligence and an interest in applying AI tools to data analysis and reporting.

- Familiarity with SQL is a plus; writing SQL queries is not required.

- Authorization to work in the United States. Visa sponsorship and visa transfers are not available for this position.

Benefits:

- Base salary: $125,500-$147,600 USD, depending on experience and level.

- Equity participation through an employee-friendly stock program.

- Transparent compensation levels based on experience.

- Unlimited paid time off to support flexibility and work-life balance.

- Fully distributed work environment with a remote-first culture.

- Home office, coworking, and internet stipends.

- Comprehensive employee benefits coverage, with additional coverage available for dependents.

- Up to 16 weeks of paid parental leave, regardless of the path to parenthood.

- Annual professional development allowance.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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Context

About Marketing Ops roles

Marketing ops professionals own the tech stack, data flows, and processes that make marketing teams efficient. They manage automation platforms, reporting infrastructure, lead routing, and attribution models.

Marketing automationCRM administrationData hygieneAttribution modelingProcess optimization
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