SEO Executive
Data-Driven & AI-Enhanced
02
Available Positions
2–3 years in Web Scraping, Data Analytics, Data Intelligence, and SEO
Experience
BE.IT/CS, MCA, BBA, BSc(CS/IT) or any equivalent
Qualification
Marketing
Department
Key Responsibilities
Strategic SEO & AI-Enhanced Optimization
Develop and execute on-page and off-page SEO strategies leveraging AI-powered ranking tools (e.g., Clearscope, Surfer SEO, MarketMuse). Integrate machine-learning-driven keyword research and content gap analysis to secure top 3 rankings for priority terms.
Insight-Driven Reporting
Transform raw data into actionable insights using data visualization platforms (Tableau, Power BI) and Jupyter-based dashboards. Deliver weekly and monthly performance reports with clear KPI tracking (organic traffic growth, click-through rate, conversion rate) and data-backed recommendations.
Technical SEO & Site Performance
Collaborate with engineering teams to implement schema markup, XML sitemaps, and site-speed enhancements. Leverage Google Lighthouse, GTmetrix, and Cloudflare analytics to diagnose and resolve crawl errors, broken links, and mobile-first issues.
AI SEO & Automation
Pilot AI-driven content generation tools (OpenAI, Jasper, Writesonic) to scale editorial workflows while maintaining E-A-T standards. Integrate AI-powered rank-tracking services and automated outreach platforms to streamline link acquisition.
Proof of Results
Demonstrate a history of delivering measurable ranking improvements, achieving top-10 SERP placements for at least 15 high-volume keywords and increasing organic sessions by 40%+ within 6 months.
Required Qualifications
- Hands-on expertise with SEMrush, Ahrefs, Moz, and Google Search Console
- Proficiency in Python, SQL, and RESTful API integrations
- Strong analytical mindset with ability to distill complex datasets into strategic actions
- Excellent communication skills for stakeholder presentations and cross-functional collaboration
Preferred: Familiarity with emerging AI-SEO frameworks such as Retrieval-Augmented Generation (RAG) and vector-based keyword clustering.