Data Collection and Analysis
- How effectively does the Data Analyst collect and organize data from various sources?
- Does the Data Analyst perform data cleaning and validation?
- How does the Data Analyst conduct data analysis using statistical methods and tools?
Insights and Visualization
- How well does the Data Analyst extract meaningful insights and trends from data analysis?
- Does the Data Analyst visualize data findings using charts and graphs?
- How does the Data Analyst present data insights in a clear and compelling manner?
Data-Driven Decision Support
- How effectively does the Data Analyst support evidence-based decision-making for clients?
- Does the Data Analyst provide data-driven recommendations and solutions?
- How does the Data Analyst analyze the impact of potential decisions using data?
Data Quality and Integrity
- How well does the Data Analyst ensure the accuracy and integrity of data used for analysis?
- Does the Data Analyst maintain data security and privacy?
- How does the Data Analyst address data quality issues and anomalies?
Data Modeling and Forecasting
- How effectively does the Data Analyst build data models for predictive and forecasting purposes?
- Does the Data Analyst use regression analysis and other modeling techniques?
- How does the Data Analyst forecast future trends and outcomes based on data analysis?
Client Collaboration and Communication
- How well does the Data Analyst collaborate with clients to understand their data needs?
- Does the Data Analyst communicate technical concepts to non-technical stakeholders?
- How does the Data Analyst keep clients informed about data analysis progress?
