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About the Role
Forbes Advisor is looking for a Marketing Operations Analyst to join the Forbes Advisor Performance Marketing team, supporting our emerging OpenAI Ads initiative.
This role will help operate, test, measure, and scale a new advertising channel at the intersection of performance marketing, AI, experimentation, and data. The ideal candidate is curious, analytical, technically comfortable, and excited to help build new marketing programs from the ground up.
This will begin as a contract-to-hire role and is intended as an entry-level opportunity for a recent graduate or early-career candidate with strong analytical instincts, a growth mindset, and interest in the evolving AI advertising landscape.
If you are looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company, read on.
The Marketing Operations Analyst will work closely with the current ChatGPT Ads lead and partner with Analytics, Engineering, Creative, Product, category teams, Business Development, leadership, and external platform partners to support campaign execution, experimentation, reporting, and growth.
Responsibilities
Campaign Operations & Execution
Monitor campaign performance and identify issues, anomalies, risks, and opportunities.
Build, launch, QA, and maintain campaigns across emerging AI advertising surfaces.
Develop audiences, personas, context hints, prompts, and targeting approaches that support scalable campaign growth.
Write, test, and refine ad creative, messaging, prompts, and landing-page concepts.
Make budget, pacing, and campaign adjustments based on performance signals and business priorities.
Support conversion tracking, measurement, tagging, and data quality checks.
Build, maintain, and improve reporting that helps the team understand performance and identify opportunities.
Experimentation, Testing & Learning
Help design and analyze experiments across prompts, targeting, creative, landing experiences, audiences, and funnels.
Develop clear hypotheses based on performance data, platform behavior, user intent, and business needs.
Document learnings as the platform evolves and turn early observations into repeatable operating practices.
Identify opportunities for automation, process improvement, and faster execution.
Challenge existing approaches and bring forward new ideas rather than simply executing a checklist.
Analysis & Performance Diagnosis
Use data to diagnose performance changes, understand root causes, and recommend next steps.
Evaluate performance across revenue, conversion volume, efficiency, quality, and growth potential.
Partner with Analytics and Engineering to improve measurement, reporting, and campaign visibility.
Translate campaign observations into practical recommendations for category, product, and business stakeholders.
Cross-Functional Collaboration
Work with Analytics, Engineering, Creative, Product, category teams, leadership, Business Development, and external platform partners.
Communicate findings, risks, and opportunities clearly to both technical and non-technical audiences.
Support new partner opportunities, platform tests, and business initiatives tied to the growth of AI advertising.
Operate with increasing autonomy as the channel matures and the role grows.
Capability Expectations
Operates with curiosity, ownership, and a willingness to figure things out without an established playbook.
Moves quickly while maintaining accuracy, attention to detail, and strong follow-through.
Proactively identifies campaign, tracking, reporting, and performance issues before they become larger problems.
Balances hands-on execution with broader thinking about how to grow and improve the channel.
Turns ambiguous problems into clear actions, tests, and recommendations.
Builds repeatable processes as the platform and operating model evolve.
Brings an entrepreneurial mindset and interest in growing something new.
Professional Competencies
Strong analytical and critical thinking abilities.
Deep curiosity about AI, search behavior, digital advertising, and emerging marketing ecosystems.
Comfort working directly with data and using performance signals to make decisions.
Creative problem solver who can develop prompts, targeting concepts, messaging ideas, and test plans.
Strong communicator who can work effectively across technical and non-technical teams.
Commercially minded and interested in what actually drives revenue, quality, and profitable growth.
Comfortable operating in ambiguity, changing priorities, and a fast-evolving platform environment.
Willing to challenge assumptions and suggest better approaches when the data or market signals support it.
Organized, detail-oriented, and able to manage multiple workflows without losing accuracy.
Growth mindset with a focus on continuous learning, experimentation, and innovation.
Requirements
Bachelor's degree required.
Recent graduate or early-career candidate with strong analytical fundamentals and interest in performance marketing, AI, data, or digital growth.
Strong Excel or Google Sheets skills required.
Experience with SQL, python or similar data tools is highly valuable.
Experience with reporting, analytics, automation tools such as Zapier, Tableau, Looker, or digital analytics platforms is helpful.
Working knowledge of performance marketing concepts, conversion funnels, experimentation, and measurement preferred.
Strong written and verbal communication skills.
Ability to begin the workday around 7:00 a.m. Eastern Time to provide meaningful overlap across teams in the United States, Europe, and India.
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This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.