Evaluation Criteria
- Technical Skills (25%)
- Proficiency in using tools like Excel, SQL, Python, or R for data analysis.
- Ability to create insightful visualisations using tools like Tableau, Power BI, or Matplotlib.
- Understanding of statistical methods and their application.
- Problem-Solving (20%)
- Ability to break down complex problems and identify solutions.
- Innovative approaches to analyzing data and deriving insights.
- Impact on Business (20%)
- Contribution to projects that resulted in significant business impact or improved decision-making.
- Demonstrable ROI from data-driven initiatives led by the analyst.
- Communication Skills (15%)
- Ability to present data insights clearly and persuasively to stakeholders.
- Effective communication and teamwork with colleagues across departments.
- Initiative and Leadership (10%)
- Willingness to take on new challenges and propose new ideas.
- Demonstrated leadership skills in guiding projects or mentoring junior analysts.
- Professional Development (10%)
- Commitment to self-improvement through courses, certifications, or participation in relevant events.
- Staying updated with industry trends and emerging technologies.
