[Hiring] Analyst, Digital Marketing @Pearl

Role Description

As a Analyst, Digital Marketing, you will manage and optimize Google Ads campaigns, analyze performance data, and collaborate with cross-functional teams to drive better ROAS/CPA while maintaining robust tracking and reporting practices.

• Build and optimize Google Ads campaigns, including structure, keyword research, targeting, and ad creatives.
• Conduct experiments, analyze segmented performance data, and drive improvements in CTR, conversion rate, ROAS, and CPA.
• Monitor daily metrics, identify anomalies, and address performance or tracking issues proactively.
• Use Excel and SQL to analyze large datasets and support bid/budget optimization decisions.
• Collaborate with Analytics, Product, Engineering, and market teams while ensuring strong tracking, tagging, and measurement hygiene (UTMs, GA4, conversion tracking).

Qualifications

• 5–8 years of experience in performance/search marketing, including 3+ years managing Google Ads campaigns end-to-end.
• Strong knowledge of Google Ads fundamentals, bidding strategies, auction dynamics, quality score, and search query analysis.
• Data-driven mindset with the ability to define KPIs, analyze trends, and make evidence-based recommendations.
• Advanced Excel/Sheets skills and working knowledge of SQL for handling large datasets.
• Familiarity with GA/GA4, conversion tracking, and attribution basics.
• Clear communicator, comfortable sharing insights with cross-functional teams.
• Flexible to attend planned evening IST meetings to overlap with US teams.
• Leverages AI for creatives, keyword clustering, anomaly detection, real-time insights, and automated reporting to enhance strategy and efficiency.

Requirements

• Google Ads Search certified or equivalent practical experience (Good to have).
• Exposure to Microsoft Ads, Display/YouTube, or other paid channels (Good to have).
• Experience with dashboarding tools (Looker Studio, Power BI, Tableau) and/or basic scripting (Python) (Good to have).
• Familiar with A/B testing, experimentation frameworks, and statistical fundamentals (Good to have).
• Comfortable using LLM/prompting tools to enhance analysis and reporting productivity (as per policy) (Good to have).

Our Commitment to an Inclusive Workplace

We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

AI Disclosure & Informed Consent

Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process.