Marketing Operations Analyst

Honeycomb; United States; On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

100% covered medical, dental, vision

HSA, FSA

Unlimited PTO

Sabbatical

401K retirement plans

Life insurance

Paid parental leave

Adoption assistance

Home setup stipend

Development stipend

Equity

Job summary

Honeycomb is seeking a data-driven analytics professional to build end-to-end marketing and sales reporting. You will connect HubSpot activity to Salesforce opportunities, define attribution models, and collaborate with marketing on lead scoring and data flows.

Your work will enable executives to see ROI across campaigns and drive data-informed decisions. You will develop dashboards with AI enhancements, refresh them regularly, and explore unexpected patterns using Excel and BI tools.

Qualifications

• 3–5 years of experience in marketing, revenue operations, or a multi-hat go-to-market role.
• Bonus: ability to read SQL (writing not required).
• Curiosity about AI and how to use it in your analysis.

Responsibilities

• Build full-funnel reporting that connects marketing activity in HubSpot to opportunities and closed-won business in Salesforce, and make it visible to executives and teams across the organization.
• Define and document attribution: informed vs marketing-sourced, leads tagged as marketing-led, sales-led, or SDR-led.
• Partner with marketing on lead scoring and how leads flow into Salesforce.
• Improve measurement of campaign ROI so teams can see what worked and optimize spend.
• Publish shared metric definitions as a single source of truth.
• Build reports and dashboards with AI tools, refine with stakeholder feedback, and publish final versions on a regular refresh schedule.
• Analyze data with AI to surface patterns and insights not previously asked for.

Skills

Analytical skills

SQL knowledge

Marketing concepts

SaaS experience

Excel

BI tools

AI curiosity

Revenue operations

Tools

SQL

Excel

BI tools

Job description

• Build full-funnel reporting that connects marketing activity in tools like HubSpot to opportunities and closed-won business in Salesforce, and make it visible to executives and teams across the organization
• Work with marketing and sales to define and document how attribution works, including what “influenced” versus “marketing-sourced” means and how leads are tagged as marketing-led, sales-led, or SDR-led
• Partner with marketing on lead scoring and how leads flow into Salesforce
• Improve how we measure campaign ROI so teams can see what worked, double down, and shift spend away from what didn’t
• Work with marketing and go-to-market teams to agree on shared metric definitions, and publish them as a single source of truth
• Build reports and dashboards with AI tools, refine them with stakeholder feedback, and publish final versions to our BI tool on a regular refresh schedule
• Dig into the data, including with AI, to surface patterns and insights nobody has asked about yet

Benefits

• 100% covered medical, dental, vision, HSA, FSA, disability, and more
• Unlimited PTO, synchronous company break, paid sabbatical, and expressed minimum for time to recharge
• 401K retirement plans and fully paid life insurance
• Up to 16 weeks paid leave regardless of path to parenthood; flexible hours for returning parents and caregivers
• $10K to cover gaps in insurance, in support of adoption, surrogacy, preservation, and family-planning costs
• $600 per year to spend on the perks you care for most
• A stake in our success
• Generous new hire equity, and refresh grants
• Annual $1,500 development stipend; funding for cognitive coaching; and a focus on career pathing
• $500 new hire home setup stipend and $200/mo for wifi, phone and co-working

The interpersonal skills to negotiate shared definitions across teams with different perspectivesAbout 3 to 5 years of experience, ideally in marketing, revenue operations, or a multi-hat go-to-market roleBonus: the ability to read SQL (writing it is not required)Curiosity about AI and how to use it in your analysisStrong analytical skills, with hands-on experience in Excel and BI toolsWorking knowledge of marketing concepts and terms, such as MQLsExperience in a SaaS environment