Job Description

Data-Driven & AI-Enhanced

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02

Available Positions

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2-3 years in Web Scraping, Data Analytics, Data Intelligence, and SEO

Experience

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BE.IT/CS, MCA, BBA, BSc(CS/IT) or any equivalent

Qualification

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Marketing

Department

Key Responsibilities

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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

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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.