Data Analyst
The Data Analyst collects, processes, and analyses data to help organisations make informed decisions. This role produces reports, dashboards, and visualisations that translate complex data into actionable insights.
What Does a Data Analyst Do?
Deliver accurate and timely data insights, maintain data quality standards, and proactively identify trends and anomalies that drive business value.
Key Responsibilities & Tasks
Data Collection and Processing
- Extract data from multiple sources and ensure quality
- Clean, transform, and prepare data for analysis
Analysis and Reporting
- Perform statistical and exploratory data analysis
- Create dashboards and visualisations for stakeholders
- Present findings and recommendations to business teams
Do You Have the Skills for This Role?
A Data Analyst needs 4 core competencies. Here's what's required and at what level.
Must-Have Skills (Advanced)
Sense Making
AdvancedThinking Critically
Supporting Skills
Problem Solving
IntermediateThinking Critically
Communication
IntermediateInteracting with Others
Digital Fluency
IntermediateStaying Relevant
SkillsFuture Skill Levels
3 levelsBasic
Recognise and understand fundamental concepts. Apply skills in routine situations with guidance.
Intermediate
Apply skills in varied situations independently. Analyse problems and adapt approaches as needed.
Advanced
Lead and innovate in complex situations. Evaluate strategies, guide teams, and drive improvements.
Technical Skills & Competencies (TSC) Levels
6 levelsFollow
Carry out routine tasks under close supervision. Follow established procedures and guidelines.
Assist
Perform tasks with some independence. Assist in non-routine situations and apply established techniques.
Apply
Apply skills and knowledge independently in varied situations. Analyse problems and adapt approaches.
Analyse
Analyse complex situations and develop solutions. Guide and mentor junior colleagues.
Strategise
Set strategic direction and drive innovation. Evaluate trade-offs and make high-impact decisions.
Transform
Lead industry transformation. Establish standards, shape policy, and provide expert advisory.
Technical Skills & Competencies
A Data Analyst requires 5 technical skills at specific proficiency levels.
Data Engineering
Level 4Development and Implementation
Translate business requirements into data structures and processes to standardise data, verify data reliability and validity, store, extract, transform, load and integrate data
Data Strategy
Level 4Strategy Planning and Implementation
Develop data management structures and recommend policies, processes and tools for effective data storage, handling and utilisation
Business Needs Analysis
Level 3Business and Project Management
Elicit and analyse business requirements from key stakeholders and assess relevant solutions and their potential impact
Data Visualisation
Level 3Development and Implementation
Select appropriate visualisation techniques and develop dashboards to reflect data trends and findings
Stakeholder Management
Level 3Stakeholder and Contract Management
Serve as the organisation's main contact point for stakeholder communications, clarifying responsibilities among stakholders, and engaging them to align expectations
European Skills Framework
ESCOSkills and knowledge areas required for this occupation based on European classification.
Essential
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