# Role Curation Log

Generated 2026-04-19T09:25:05.374883+00:00Z by `scripts/curate_roles.py`

This log shows, per role, which skills were kept and which were dropped (with reason).
Source of truth for keep decisions: `seed_data/role_curation.yaml`. Edit there + re-run.


## Data Scientist

**Kept (16 skills):**

- `Python` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `SQL` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Pandas` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `NumPy` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `Scikit-learn` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `PyTorch` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Statistical Hypothesis Testing` (mandatory, weight=0.9, level=INTERMEDIATE, source=manual)
- `Git` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `TensorFlow` (optional, weight=0.9, level=INTERMEDIATE, source=onet)
- `AWS` (optional, weight=0.8, level=INTERMEDIATE, source=onet)
- `Tableau` (optional, weight=0.8, level=INTERMEDIATE, source=onet)
- `Apache Spark` (optional, weight=0.7, level=INTERMEDIATE, source=onet)
- `Feature Engineering` (optional, weight=0.7, level=INTERMEDIATE, source=manual)
- `Microsoft Power BI` (optional, weight=0.6, level=INTERMEDIATE, source=onet)
- `Matplotlib` (optional, weight=0.6, level=BEGINNER, source=manual)
- `Docker` (optional, weight=0.6, level=INTERMEDIATE, source=manual)

**Dropped (13 skills):**

- `Apache Hadoop` — Spark replaced it
- `C++` — Low-level numerics only; not in PK DS postings
- `Microsoft Azure` — Pick one cloud — AWS retained as primary
- `Microsoft Excel` — R4: not core for DS (Excel is for DA/BI roles)
- `Microsoft PowerPoint` — Presentation tool, not measurable
- `Java` — Rare in DS workflow
- `R` — R4: PK DS market is Python+SQL; R rarely required (Glassdoor PK Data Scientist evidence)
- `SAS` — Enterprise legacy
- `Snowflake` — R4: warehouse skill — Data Engineer territory
- `MATLAB` — Academic only
- `Jupyter Notebook` — R4: assumed knowledge, not learnable on slider
- `Seaborn` — R4: covered by Matplotlib retention
- `Data Structures & Algorithms` — R4: interview prep, not posting requirement (per job-board evidence)


## Data Analyst

**Kept (10 skills):**

- `SQL` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Microsoft Excel` (mandatory, weight=1.0, level=ADVANCED, source=onet)
- `Microsoft Power BI` (optional, weight=0.9, level=INTERMEDIATE, source=manual)
- `Python` (mandatory, weight=0.9, level=INTERMEDIATE, source=onet)
- `Tableau` (optional, weight=0.8, level=INTERMEDIATE, source=onet+manual)
- `Pandas` (optional, weight=0.7, level=INTERMEDIATE, source=manual)
- `DAX` (optional, weight=0.7, level=BEGINNER, source=manual)
- `Power Query / M Language` (optional, weight=0.6, level=BEGINNER, source=manual)
- `Data Visualization` (optional, weight=0.6, level=BEGINNER, source=manual)
- `Statistical Hypothesis Testing` (optional, weight=0.5, level=INTERMEDIATE, source=manual)

**Dropped (7 skills):**

- `AWS` — Junior DA in PK rarely owns cloud infra
- `IBM SPSS Statistics` — Enterprise legacy
- `Microsoft Access` — Legacy desktop DB
- `Microsoft Office` — Too generic
- `Microsoft PowerPoint` — Presentation tool
- `R` — R4: PK DA postings rarely list R; demoted then dropped
- `SAS` — Enterprise legacy; PK market is Python/SQL


## Machine Learning Engineer

**Kept (16 skills):**

- `Python` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `PyTorch` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet+manual)
- `Scikit-learn` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `SQL` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Docker` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet+manual)
- `AWS` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Pandas` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `NumPy` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `Git` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `GitHub` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `TensorFlow` (optional, weight=0.9, level=INTERMEDIATE, source=onet+manual)
- `MLflow` (optional, weight=0.8, level=INTERMEDIATE, source=manual)
- `Kubernetes` (optional, weight=0.7, level=INTERMEDIATE, source=onet+manual)
- `FastAPI` (optional, weight=0.7, level=BEGINNER, source=manual)
- `Apache Spark` (optional, weight=0.7, level=INTERMEDIATE, source=onet)
- `Linux` (optional, weight=0.6, level=INTERMEDIATE, source=onet)

**Dropped (26 skills):**

- `Apache Hadoop` — Spark replaced it
- `C++` — Niche optimization only
- `Microsoft Azure` — Pick one cloud — AWS retained
- `Microsoft Excel` — Not core to ML eng
- `Microsoft Power BI` — BI tool
- `Microsoft PowerPoint` — Presentation tool
- `Java` — Rare in ML pipelines
- `R` — Statistics-heavy — DS territory
- `SAS` — Enterprise legacy
- `Snowflake` — Data Engineer territory
- `Tableau` — BI tool
- `MATLAB` — Academic only
- `Ansible` — DevOps territory
- `Bash` — R4: assumed background skill
- `C` — Legacy systems language
- `Go` — Rare in ML pipelines
- `Terraform` — DevOps territory
- `JavaScript` — Frontend, not ML
- `Jenkins` — Replaced by GitHub Actions; not ML-eng-specific
- `NoSQL` — Generic
- `Scala` — Spark+Scala niche, declining
- `Splunk Enterprise` — Observability niche
- `ONNX` — R4: niche optimization, not in PK ML postings
- `Data Structures & Algorithms` — R4: not in postings (interview prep)
- `Object-Oriented Programming` — R4: not in postings (interview prep)
- `Agile / Scrum` — R4: rarely in ML eng postings


## Backend Developer

**Kept (16 skills):**

- `Python` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Django` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `Node.js` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `PostgreSQL` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet+manual)
- `SQL` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `REST API Design` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `Docker` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Git` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `GitHub` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `JWT / OAuth` (mandatory, weight=0.8, level=BEGINNER, source=manual)
- `FastAPI` (optional, weight=0.8, level=INTERMEDIATE, source=manual)
- `TypeScript` (optional, weight=0.7, level=INTERMEDIATE, source=onet)
- `AWS` (optional, weight=0.7, level=INTERMEDIATE, source=onet)
- `NoSQL` (optional, weight=0.6, level=INTERMEDIATE, source=onet)
- `Laravel` (optional, weight=0.4, level=BEGINNER, source=manual)
- `PHP` (optional, weight=0.4, level=BEGINNER, source=manual)

**Dropped (34 skills):**

- `Apache Kafka` — Data Engineer territory
- `Jira` — PM tool
- `C` — Not Python/Node-stack backend
- `C#` — Microsoft .NET stack — separate market
- `C++` — Game/systems, not web backend
- `CSS` — Frontend
- `XML` — Legacy
- `Angular` — Frontend
- `HTML` — Frontend
- `Terraform` — DevOps territory
- `JavaScript` — no reason given (please add to role_curation.yaml drop_reasons)
- `JSON` — Assumed knowledge
- `Jenkins` — DevOps territory
- `Kubernetes` — R4: senior-only in PK; Docker covers entry-level
- `Linux` — R4: assumed background
- `.NET` — Microsoft enterprise stack — separate market
- `Microsoft Azure` — Pick one cloud — AWS retained
- `Java` — Spring stack — separate market
- `React` — Frontend
- `Spring Boot` — Java stack
- `Spring Framework` — Java stack
- `Flask` — R4: declining; FastAPI/Django dominate PK postings
- `Redis` — R4: rarely listed by name in PK postings (assumed within Postgres/MongoDB choice)
- `pytest` — R4: rarely listed by name in postings
- `Celery` — R4: rarely listed by name
- `nginx` — R4: rarely listed by name
- `Pydantic` — R4: rarely listed by name (implicit with FastAPI)
- `Data Structures & Algorithms` — R4: interview prep, not posting requirement
- `Object-Oriented Programming` — R4: assumed for interviews, not posting requirement
- `Agile / Scrum` — R4: not in posting requirement lists
- `CI/CD Pipelines` — R4: not as concept skill in postings
- `GitHub Actions` — R4: rare standalone in PK BE postings
- `.NET / C#` — R4: separate Pakistani market, deserves its own role tier
- `Unit Testing` — R4: not in posting requirement lists


## Frontend Developer

**Kept (14 skills):**

- `React` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet+manual)
- `JavaScript` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `TypeScript` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet+manual)
- `HTML` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `CSS` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `REST API Design` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `Git` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `GitHub` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Next.js` (mandatory, weight=0.9, level=INTERMEDIATE, source=manual)
- `Tailwind CSS` (optional, weight=0.8, level=BEGINNER, source=manual)
- `Redux` (optional, weight=0.7, level=BEGINNER, source=manual)
- `Node.js` (optional, weight=0.7, level=INTERMEDIATE, source=onet)
- `Vite` (optional, weight=0.5, level=BEGINNER, source=manual)
- `TanStack Query` (optional, weight=0.4, level=BEGINNER, source=manual)

**Dropped (33 skills):**

- `AWS` — DevOps territory
- `Apache Kafka` — Data Eng
- `Jira` — PM tool
- `C#` — Backend
- `C++` — Not FE
- `Docker` — R4: rarely listed for FE-only roles
- `Go` — Not FE
- `Angular` — R4: separate role market in PK
- `GraphQL` — R4: rare in PK FE postings
- `JSON` — Assumed
- `Jenkins` — DevOps
- `jQuery` — Legacy
- `Kubernetes` — DevOps territory
- `Linux` — no reason given (please add to role_curation.yaml drop_reasons)
- `Microsoft Azure` — DevOps territory
- `MongoDB` — Backend/data
- `MySQL` — Backend/data
- `NoSQL` — Backend/data
- `Java` — Backend
- `PHP` — Backend (separate Full Stack stack)
- `PostgreSQL` — Backend/data
- `Python` — Backend
- `Spring Boot` — Java backend
- `Spring Framework` — Java backend
- `SQL` — Backend/data
- `Vue.js` — R4: separate role market in PK; React dominates
- `WordPress` — CMS — separate small-agency market
- `Vitest` — R4: testing rarely in PK FE postings
- `Playwright` — R4: testing rarely in PK FE postings
- `Web Accessibility (a11y)` — R4: rarely a posted requirement in PK
- `Responsive Design` — R4: assumed within React+Tailwind work
- `Data Structures & Algorithms` — R4: interview prep, not posting requirement
- `Agile / Scrum` — R4: not in FE posting requirement lists


## Full Stack Developer

**Kept (18 skills):**

- `JavaScript` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `TypeScript` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet+manual)
- `React` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Node.js` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Python` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `PostgreSQL` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `REST API Design` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `SQL` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Docker` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Git` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `GitHub` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `HTML` (mandatory, weight=0.9, level=INTERMEDIATE, source=onet)
- `CSS` (mandatory, weight=0.9, level=INTERMEDIATE, source=onet)
- `Next.js` (optional, weight=0.8, level=INTERMEDIATE, source=manual)
- `Django` (optional, weight=0.8, level=INTERMEDIATE, source=manual)
- `MongoDB` (optional, weight=0.8, level=INTERMEDIATE, source=onet)
- `Tailwind CSS` (optional, weight=0.7, level=BEGINNER, source=manual)
- `AWS` (optional, weight=0.7, level=INTERMEDIATE, source=onet)

**Dropped (34 skills):**

- `Apache Kafka` — Data Eng
- `Jira` — PM tool
- `C` — Not web full-stack
- `C#` — .NET niche — separate stack
- `C++` — Not web full-stack
- `XML` — Legacy
- `Angular` — Pick one FE framework — React retained
- `Terraform` — DevOps
- `JSON` — Assumed knowledge
- `Jenkins` — DevOps
- `Kubernetes` — no reason given (please add to role_curation.yaml drop_reasons)
- `Linux` — R4: assumed background
- `.NET` — .NET niche — separate stack
- `Microsoft Azure` — Pick one cloud — AWS retained
- `NoSQL` — Generic — MongoDB covers it
- `Java` — Spring niche — separate stack
- `Spring Boot` — Java stack
- `Spring Framework` — Java stack
- `Go` — Niche for full-stack web in PK
- `GraphQL` — R4: rare in PK FS postings
- `jQuery` — Legacy
- `MySQL` — PostgreSQL covers SQL needs
- `PHP` — R4: separate Laravel/PHP stack market — Backend covers
- `Vue.js` — Pick one FE framework — React retained
- `WordPress` — CMS — separate market
- `Vite` — R4: assumed within Next.js/React tooling
- `Vitest` — R4: testing rarely in PK postings
- `JWT / OAuth` — R4: covered by Backend role; FS focuses on stack
- `Data Structures & Algorithms` — R4: interview prep, not posting requirement
- `Object-Oriented Programming` — R4: not in posting requirement lists
- `Agile / Scrum` — R4: not in posting requirement lists
- `CI/CD Pipelines` — R4: not as concept skill in PK FS postings
- `GitHub Actions` — R4: rare standalone for FS
- `Laravel` — R4: separate Laravel/PHP stack market — Backend covers


## Data Engineer

**Kept (14 skills):**

- `Python` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `SQL` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Apache Spark` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet+manual)
- `Apache Airflow` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `ETL / ELT` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `AWS` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Git` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `Snowflake` (optional, weight=0.8, level=INTERMEDIATE, source=onet+manual)
- `dbt` (optional, weight=0.8, level=INTERMEDIATE, source=manual)
- `Apache Kafka` (optional, weight=0.7, level=BEGINNER, source=manual)
- `Google BigQuery` (optional, weight=0.9, level=INTERMEDIATE, source=manual)
- `Docker` (optional, weight=0.7, level=INTERMEDIATE, source=manual)
- `Microsoft Azure` (optional, weight=0.6, level=INTERMEDIATE, source=onet)
- `Data Modeling` (optional, weight=0.6, level=INTERMEDIATE, source=manual)

**Dropped (14 skills):**

- `Microsoft Access` — Legacy desktop DB
- `Microsoft Excel` — R4: rare for DE postings
- `Microsoft Office` — Too generic
- `Microsoft Outlook` — Email client
- `Microsoft Power BI` — BI Analyst territory
- `Microsoft PowerPoint` — Presentation tool
- `Tableau` — BI Analyst territory
- `Java` — R4: declining for DE; Python+Scala dominate
- `R` — BI/stats territory; Python+SQL covers DE
- `Delta Lake` — R4: rare in PK entry-level DE postings
- `Apache Iceberg` — R4: rare in PK entry-level DE postings; Delta Lake (also dropped) was the safer pick but neither needed
- `Databricks` — R4: senior-only in PK postings
- `Parquet` — R4: rarely listed by name in postings (implicit with Spark/Airflow)
- `Data Structures & Algorithms` — R4: interview prep, not posting requirement


## DevOps Engineer

**Kept (16 skills):**

- `Docker` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet+manual)
- `Kubernetes` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet+manual)
- `Terraform` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet+manual)
- `AWS` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet+manual)
- `Linux` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Bash Scripting` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `CI/CD Pipelines` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `Git` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `GitHub` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Python` (mandatory, weight=0.8, level=INTERMEDIATE, source=onet)
- `GitHub Actions` (optional, weight=0.8, level=INTERMEDIATE, source=manual)
- `Microsoft Azure` (optional, weight=0.7, level=BEGINNER, source=onet+manual)
- `Ansible` (optional, weight=0.7, level=BEGINNER, source=onet+manual)
- `Prometheus` (optional, weight=0.6, level=BEGINNER, source=manual)
- `Grafana` (optional, weight=0.6, level=BEGINNER, source=manual)
- `Jenkins` (optional, weight=0.5, level=INTERMEDIATE, source=onet+manual)

**Dropped (16 skills):**

- `Amazon Web Services AWS CloudFormation` — Terraform won
- `Jira` — R2: PM tool consistency
- `Bash` — Duplicate of Bash Scripting
- `C` — Not DevOps day-to-day
- `C++` — Not DevOps day-to-day
- `Go` — K8s/Terraform internals only
- `JavaScript` — Not DevOps
- `Microsoft Active Directory` — Windows enterprise niche
- `Microsoft PowerShell` — Windows admin only
- `Java` — Rare in modern DevOps
- `SQL` — R4: debugging-only, not core skill
- `Google Cloud Platform` — R4: rare in PK DevOps postings (AWS/Azure dominate)
- `Linux Administration` — R2: duplicate of Linux
- `ArgoCD` — R4: senior-only in PK postings
- `Helm` — R4: senior-only in PK postings
- `Computer Networking Fundamentals` — R4: assumed background, not in posting requirement lists


## AI Engineer (GenAI / LLM)

**Kept (17 skills):**

- `Python` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `HuggingFace Transformers` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `LangChain` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `OpenAI API` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `RAG` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `Prompt Engineering` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `PyTorch` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Docker` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Git` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `GitHub` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `AWS` (optional, weight=0.8, level=INTERMEDIATE, source=onet)
- `Microsoft Azure` (optional, weight=0.7, level=INTERMEDIATE, source=onet)
- `Anthropic Claude API` (optional, weight=0.7, level=BEGINNER, source=manual)
- `pgvector` (optional, weight=0.7, level=BEGINNER, source=manual)
- `FastAPI` (optional, weight=0.7, level=BEGINNER, source=manual)
- `LangGraph` (optional, weight=0.6, level=BEGINNER, source=manual)
- `Sentence Transformers` (optional, weight=0.6, level=BEGINNER, source=manual)

**Dropped (26 skills):**

- `Ansible` — DevOps
- `Apache Hadoop` — Big data — Data Eng
- `Apache Spark` — Big data — Data Eng
- `Bash` — Background
- `C` — Legacy
- `C++` — Niche
- `Go` — Rare in AI eng
- `Terraform` — DevOps
- `JavaScript` — Not AI eng
- `Jenkins` — DevOps
- `Kubernetes` — R4: senior-only in PK AI eng postings
- `Linux` — Background
- `NoSQL` — Generic — vector DBs are the relevant DB type
- `Java` — Rare in AI eng
- `R` — Statistics, not LLM eng
- `Scala` — Big data, not LLM eng
- `Splunk Enterprise` — Observability niche
- `SQL` — R4: rare for AI Eng day-to-day
- `TensorFlow` — PyTorch dominates research/LLM
- `LlamaIndex` — R4: overlaps LangChain; rarely both required in PK postings
- `Pinecone` — R4: open-source vector DBs (pgvector, Chroma) winning
- `LLM Evaluations` — R4: concept rarely listed in postings
- `LLM Observability` — R4: concept rarely listed in postings
- `LLM Fine-tuning` — R4: rare in entry-level PK postings
- `Object-Oriented Programming` — R4: interview prep
- `Data Structures & Algorithms` — R4: interview prep


## Business Intelligence Analyst

**Kept (10 skills):**

- `Microsoft Power BI` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet+manual)
- `DAX` (mandatory, weight=1.0, level=INTERMEDIATE, source=manual)
- `SQL` (mandatory, weight=1.0, level=INTERMEDIATE, source=onet)
- `Microsoft Excel` (mandatory, weight=1.0, level=ADVANCED, source=onet)
- `Power Query / M Language` (mandatory, weight=0.9, level=BEGINNER, source=manual)
- `Tableau` (optional, weight=0.7, level=INTERMEDIATE, source=onet+manual)
- `Snowflake` (optional, weight=0.7, level=BEGINNER, source=manual)
- `Python` (optional, weight=0.6, level=INTERMEDIATE, source=onet)
- `Star Schema Modeling` (optional, weight=0.6, level=BEGINNER, source=manual)
- `Data Storytelling` (optional, weight=0.5, level=BEGINNER, source=manual)

**Dropped (10 skills):**

- `AWS` — BI Analyst consumes from cloud DWH, doesn't own infra
- `Microsoft Azure` — Same as AWS — BI Analyst doesn't own cloud infra
- `Microsoft Office` — Too generic — Microsoft Excel covers it
- `Microsoft PowerPoint` — Presentation, not BI engineering
- `Oracle Cloud` — Enterprise niche
- `R` — R4: PK BI market is Power BI+SQL+Excel; R rarely required
- `SAP` — ERP — niche
- `SAS` — Enterprise legacy
- `Looker` — R4: rare in PK BI postings (Power BI/Tableau dominate)
- `dbt` — R4: more for Data Eng; rarely in PK BI postings