END TO END ECOMMERCE PRIVATE LIMITED CIN: U62099KA2024OPC190428 Add : 235,Binnamangala, 2nd Floor,13th Cross Road, Indiranagar (Bangalore), Bangalore North, Bangalore- 560038, Karnataka SEO Tech Analyst JD Role Summary The SEO Tech Analyst manages technical SEO, ensuring site and catalog feeds are crawlable, indexable, and structurally sound. This hybrid analyst-engineer role bridges SEO strategy, engineering, and client delivery, focusing on automation and measurable impact. Core Responsibilities  Maintain site health: audits, crawl diagnostics, index coverage, redirects, canonical strategy.  Oversee feed and URL quality: validate feeds, canonical mapping, feed-to-URL reconciliation.  Validate/tune automation: review enrichment, enforce rules, flag unsafe changes.  Implement/monitor structured data, hreflang, pagination, metadata.  Measure performance: CTR, impressions, rankings, sessions, A/B and meta experiments.  Define safety/content policies: blacklists, legal checks, brand constraints.  Collaborate on engineering: connector specs, data contracts, QA, rollout plans.  Produce reports and playbooks for remediation and SEO wins. Key Technical Skills  SEO fundamentals: site architecture, crawling/indexing, canonicalization, redirects, robots.txt, sitemaps.  Feed/catalog knowledge: CSV/XML/JSON validation, attribute mapping, URL reconciliation.  Web stack: HTML, HTTP, status codes, headers, JavaScript rendering.  Structured data: schema.org types (Product, Offer, AggregateRating), JSON-LD.  Log/crawl data analysis: parsing logs, large-scale URL analysis.  Analytics: GA4, Google Search Console for ranking and CTR.  Data/query: SQL, Excel/Sheets, pipelines/ETL.  Basic scripting: Python, Node.js, Bash for automation and fixes.  SEO tools/APIs: SEMrush, Ahrefs, Screaming Frog, Sitebulb. Nice-to-Have  Experience with embeddings/semantic matching or ML-based scoring.  Integrating with CMS/e-commerce (Shopify, Magento), metadata APIs.  A/B testing SEO metadata, measuring lift.  Familiarity with CI/CD, feature flags, canary deployments.  Exposure to vector DBs or search (Elastic, Pinecone).