SkillScorer ships with 5 Data, AI & Analytics disciplines and 50 individual skills out of the box. Choose a discipline to see every skill, its description and the levels that come with it — each one fully editable, renameable or removable, and you can add your own to match how your organisation actually works.
10 skills
BI analysts turn business questions into clear, trusted numbers. This scorecard covers data preparation, analysis, dashboards, storytelling and stakeholder work so data teams can benchmark analysts and lift the quality of decisions.
- Translating Business Questions into Analysis
- Data Extraction and SQL Proficiency
- Data Cleaning and Validation
- Dashboard Design and Visualisation
- Statistical Reasoning
- Data Storytelling and Presentation
- Stakeholder Engagement and Requirements
- Metric Definition and Governance
- + 2 more
See all Business Intelligence & Analytics skills → 10 skills
Data scientists build models that predict and automate. This scorecard covers problem framing, modelling, evaluation, deployment and ethics for data science teams working with real business data.
- Problem Framing and Success Metrics
- Exploratory Data Analysis
- Feature Engineering and Data Preparation
- Model Selection and Training
- Model Evaluation and Validation
- Coding and Reproducibility
- Deployment and Monitoring Awareness
- Explainability and Communication
- + 2 more
See all Data Science & Machine Learning skills → 10 skills
Data engineers make reliable data available to everyone. This scorecard covers pipelines, modelling, cloud platforms, quality and operations for data engineering teams.
- Pipeline Design and Orchestration
- Data Modelling and Warehousing
- SQL and Distributed Processing
- Cloud Data Platform Skills
- Data Quality Testing and Monitoring
- Streaming and Real-Time Data
- Security, Privacy and Access Control
- Documentation and Data Cataloguing
- + 2 more
See all Data Engineering & Platforms skills → 10 skills
AI practitioners build useful, safe applications on top of large language models and other AI tools. This scorecard covers prompt design, retrieval, evaluation, safety and integration for teams shipping AI features.
- Use Case Selection and Scoping
- Prompt Design and Iteration
- Retrieval and Grounding Techniques
- Evaluation and Testing of AI Outputs
- Safety, Privacy and Misuse Prevention
- Integrating AI into Products and Workflows
- Cost, Latency and Model Selection
- Human-in-the-Loop Design
- + 2 more
See all Applied AI & Prompt Engineering skills → 10 skills
Data governance professionals make sure data is accurate, secure and used responsibly. This scorecard covers policy, ownership, quality, privacy and change for governance teams.
- Data Ownership and Stewardship
- Data Quality Rules and Remediation
- Metadata and Data Catalogue Management
- Master and Reference Data Management
- Privacy, Retention and Regulatory Requirements
- Access Control and Data Classification
- Policy and Standards Communication
- Stakeholder Engagement and Change Management
- + 2 more
See all Data Governance & Management skills →