Job Posting Analysis Dashboard

An AI-powered competitive-intelligence platform that transforms raw job-posting data into executive-ready strategic insights for the global crop-science industry.

What This Platform Does

Market Intelligence

Tracks thousands of job postings across major AgTech and crop-science companies, revealing hiring trends, skill demands, and talent-market dynamics in real time.

AI-Driven Analysis

Leverages large language models and retrieval-augmented generation (RAG) to produce analyst-grade briefs, company reports, and strategic takeaways on demand.

Competitive Benchmarking

Compares companies side-by-side on skill mix, crop focus, geographic footprint, and category strategy (Crop Protection vs Seeds & Traits).

Platform Sections

Home Dashboard

Your starting point — a concise overview of the dataset, key metrics, and quick navigation to every analytical module.

Visual Analysis

Interactive Plotly charts: skill bars, time heatmaps, company-country stacks, crop heatmaps, and taxonomy breakdowns.

Strategic Analysis

AI trend briefs, company leaderboards, skill criticality scoring, emerging-skill detection, crop intelligence, and regional summaries.

AI Chat

Conversational agent for natural-language queries about any company, skill, region, or crop.

Top Skills & Treemap

Ranked skill-demand charts and treemaps showing how skills cluster across job families.

Company & Region

Geographic hiring distribution by company with country-level drill-downs and skill-profile similarity.

How It Works

1
Data Ingestion — Job postings are scraped and stored in Google BigQuery. Each record captures the company, title, skills, location, crop focus, and job category.
2
Skill Matching & Enrichment — A Bayer-internal skills catalog is matched against postings to identify critical skills, emerging competencies, and skill gaps using IDF-weighted composite scoring.
3
Category & Crop Tagging — Postings are classified into Crop Protection, Seeds & Traits, or Digital Agriculture, and tagged with specific crops (Corn, Soybean, Wheat, etc.).
4
AI Analysis — Large language models generate executive summaries, trend narratives, and company-specific intelligence briefs with a 20% data / 80% strategic interpretation balance.
5
Interactive Exploration — Users explore the data through filterable charts, clickable company reports, crop-intelligence modals, and a conversational AI chat agent.

Team

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