8514d2e352
Gate: 139 -> 78 relevant ads (44% rejected, all logged). Rankings clean of designer artifacts; DACH regional section live; ai-skills 427 -> 73 tiered; SKILL.md with clean intro, full competences, market-driven hot-tech and regeneration-proof overlays. Before/after in docs/reference-diff-ai-engineer.md. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PDKeXvpT6tENSvyQGLV1Uq
47 lines
2.8 KiB
Markdown
47 lines
2.8 KiB
Markdown
# QA sample — business-lecturer
|
||
|
||
1 of 36 records (2%). Judge each extraction against QUALITY_BAR.md 'Extraction quality': faithful, no invented items, plausible seniority.
|
||
|
||
## Lecturer/Senior Lecturer in Digital Business and Data Analytics (us)
|
||
|
||
**Ad (first 2000 chars):**
|
||
|
||
> Lecturer/Senior Lecturer in Digital Business and Data Analytics The Department of Marketing and Enterprise , based within the rapidly expanding Worcester Business School at the University of Worcester’s City Campus, is continuing to grow as demand increases for our undergraduate, postgraduate and executive‑level courses. We are therefore seeking to complement our team with an experienced Lecturer/Senior Lecturer in Digital Business and Data Analytics . The University of Worcester is ranked joint first in the UK for quality education (Times Higher Education University Impact Rankings 2025), and our graduates have the highest rate of sustained employment, further study or both from any multidisciplinary university in the UK (Longitudinal Education Outcomes Survey 2017–25). Worcester is a beautiful cathedral city, located around 40 minutes south of Birmingham, the UK’s second city. Our overriding aim is to be an outstanding institution at which to study through the provision of an excellent learning and teaching environment. We offer professionally relevant courses informed by industry needs and delivered through an experiential learning approach. Our curriculum is inspired by contemporary research and professional practice, developing students’ knowledge, applied skills, critical thinking and capacity for innovation. The Digital Business and Analytics subject area contributes to a range of programmes, including undergraduate business degrees, postgraduate management courses, specialist analytics pathways, and the Executive MBA. Our teaching and research span themes such as: Data Analytics and Business Analytics Business Intelligence and Reporting Digital Business Models and Digital Transformation AI and Automation for Business Decision‑Making Technology‑Enabled Innovation and Digital Strategy Application of leading industry tools such as Microsoft Power BI, Tableau and Qlik In addition, candidates are expected to have contemporary subject knowledge and/or experience o
|
||
|
||
**Extraction:**
|
||
|
||
```json
|
||
{
|
||
"hard_skills": [
|
||
"data analytics",
|
||
"business analytics",
|
||
"digital business modeling",
|
||
"digital transformation",
|
||
"ai implementation",
|
||
"technology-enabled innovation",
|
||
"critical thinking"
|
||
],
|
||
"tools": [
|
||
"Microsoft Power BI",
|
||
"Tableau",
|
||
"Qlik"
|
||
],
|
||
"methods": [
|
||
"experiential learning",
|
||
"industry-informed curriculum"
|
||
],
|
||
"responsibilities": [
|
||
"teaching",
|
||
"research",
|
||
"curriculum development",
|
||
"student knowledge development"
|
||
],
|
||
"qualifications": [
|
||
"5 years experience",
|
||
"degree in relevant field"
|
||
],
|
||
"soft_skills": [],
|
||
"seniority": "mid"
|
||
}
|
||
```
|