Marketing Ops Analyst
New
J
JobgetherSaaS marketing
Based in the United StatesFull-TimeMiddle
Salary125,500 - 147,600 USD per year
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Job Details
- Experience
- Approximately 3–5 years of professional experience
- Required Skills
- SQLSalesforceMicrosoft ExcelHubSpot
Requirements
- Have approximately 3–5 years of professional experience, ideally in marketing operations, revenue operations, or a cross-functional go-to-market role.
- Bring strong analytical and problem-solving skills.
- Have hands-on experience using Excel and business intelligence tools.
- Have working knowledge of marketing concepts, metrics, and terminology, including marketing-qualified leads (MQLs).
- Have experience working in a SaaS environment.
- Communicate effectively and align stakeholders with different priorities around shared definitions and measurement practices.
- Be curious about artificial intelligence and interested in applying AI tools to data analysis and reporting.
- SQL familiarity is a plus; writing SQL queries is not required.
Responsibilities
- 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.
- Collaborate with marketing and sales stakeholders to define and document attribution models, including marketing-sourced and marketing-influenced opportunities.
- Establish consistent lead-source classifications for marketing-led, sales-led, and SDR-led leads.
- Partner with marketing to improve lead scoring processes and the flow of leads into Salesforce.
- Strengthen campaign ROI measurement to identify successful initiatives, optimize spending, and redirect investment.
- Align marketing and go-to-market teams around shared metric definitions and maintain a centralized source of truth.
- Use AI tools to create and refine reports and dashboards, incorporate stakeholder feedback, and publish validated outputs on a regular refresh schedule.
- Analyze data proactively to identify trends, opportunities, and insights that support strategic decision-making.
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