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Forbes AdvisorCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical skills and proficiency in performance marketing, with a focus on campaign monitoring, audience development, and data-driven decision-making. Capable of collaborating across teams to enhance campaign performance and reporting through effective communication and innovative problem-solving.
Highest-signal resume keywords
Performance MarketingSQLPythonExcelData Analysis
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- 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
- Write, test, and refine ad creative, messaging, prompts, and landing-page concepts
- Adjust budgets, pacing, and campaigns based on performance signals and business priorities
- Support conversion tracking, measurement, tagging, and data quality checks
- Build, maintain, and improve performance reporting
- Design and analyze experiments across prompts, targeting, creative, landing experiences, audiences, and funnels
- Develop hypotheses based on performance data, platform behavior, user intent, and business needs
- Document learnings and turn observations into repeatable operating practices
- Identify opportunities for automation, process improvement, and faster execution
- Diagnose performance changes, understand root causes, and recommend next steps
- Evaluate revenue, conversion volume, efficiency, quality, and growth potential
- Partner with Analytics and Engineering to improve measurement, reporting, and campaign visibility
- Translate campaign observations into recommendations for category, product, and business stakeholders
- Collaborate with Analytics, Engineering, Creative, Product, category teams, leadership, Business Development, and external platform partners
- Communicate findings, risks, and opportunities to technical and non-technical audiences
- Support partner opportunities, platform tests, and AI advertising growth initiatives
- Operate with increasing autonomy as the channel matures
Requirements
What you’ll need- 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
- Strong analytical and critical thinking abilities
- Comfort working directly with data and using performance signals to make decisions
- Organized, detail-oriented, and able to manage multiple workflows without losing accuracy
- Growth mindset with a focus on continuous learning, experimentation, and innovation
Benefits
Comp & perks- Contract-to-hire opportunity
- Benefits of an established, successful company
- Equal employment opportunity and anti-discrimination protections
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Campaign MonitoringAudience DevelopmentConversion TrackingExperimentationData Quality ChecksPerformance ReportingBudget ManagementAutomationAnalytical FundamentalsMeasurement
Soft Skills
Strong Communication SkillsOrganizedDetail-OrientedCritical ThinkingGrowth Mindset
Tools & Technologies
Google SheetsZapierTableauLookerDigital Analytics Platforms
Industry Keywords
AI AdvertisingConversion FunnelsPerformance SignalsData-Driven Decision MakingContinuous Learning