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Data & Analytics

Senior Analyst, Digital Marketing

  • India
  • Senior
  • Remote
  • Full time
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Location

India

Setup

Remote

Posted

today

O que você vai fazer

Accountabilities:

  • Own and execute strategic initiatives focused on scaling and optimizing paid search (SEM) campaigns across Google Ads and related platforms, ensuring performance targets are consistently met.

  • Conduct in-depth keyword, audience, and competitive research to identify growth opportunities and improve campaign efficiency.

  • Design, run, and analyze experiments across ads, landing pages, pricing, and product flows to improve conversion rates and ROI.

  • Manage bidding strategies, budgets, and spend allocation while ensuring alignment with ROAS and broader marketing objectives.

  • Analyze performance data using tools such as Google Ads, Google Analytics, Excel, SQL, and PowerBI to generate actionable insights and reporting.

  • Monitor campaign trends, diagnose performance issues, and continuously optimize based on data-driven insights and segmentation techniques.

  • Collaborate closely with cross-functional teams (Product, UX, Engineering, Analytics, Content) to support integrated growth initiatives and experimentation efforts.

Requirements:

  • Bachelor’s or Master’s degree in Marketing, Business, Analytics, or a related field.

  • 6-10 years of experience in digital marketing or performance marketing, with strong hands-on SEM expertise.

  • Proven experience managing and optimizing campaigns on platforms such as Google Ads, Microsoft Ads, GDN, YouTube, or Facebook Ads.

  • Advanced Excel proficiency (pivot tables, VLOOKUP, SUMIFs, reporting and analysis functions).

  • Strong analytical mindset with the ability to interpret PPC data, identify trends, and apply segmentation and prioritization frameworks (e.g., 80/20 principle).

  • Hands-on experience with SQL is highly desirable for data extraction and campaign analysis.

  • Familiarity with Google Analytics, tagging tools, and marketing technology ecosystems.

  • Understanding of basic web technologies (HTML, CSS, JavaScript) is a plus for effective collaboration with technical teams.

  • Exposure to automation, scripting, or LLM-based tools for marketing optimization is a strong advantage.

  • Strong ownership mindset, results orientation, and ability to work in fast-paced, data-driven environments.

Benefits:

  • Competitive compensation aligned with experience and market standards.

  • Flexible and remote-friendly work environment.

  • Opportunity to work on large-scale, high-impact digital marketing campaigns.

  • Exposure to advanced analytics, experimentation frameworks, and modern marketing technologies.

  • Collaborative, cross-functional team culture focused on innovation and continuous learning.

  • Access to professional growth opportunities in a global, data-driven environment.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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About Data & Analytics roles

Data & analytics professionals in marketing transform raw data into actionable insights. They build dashboards, run attribution analysis, design experiments, and help marketing teams make data-driven decisions.

SQLPython/RDashboard building (Looker, Tableau)Statistical analysisMarketing attribution
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