Junior Data Analyst

Data Collection and Preparation: Gathering and preparing data from various sources, ensuring accuracy and consistency. Data Cleaning and Transformation: Identifying and resolving data discrepancies, inconsistencies, and errors, and preparing data for analysis. Data Analysis: Performing basic data analysis using statistical methods and tools, identifying trends and patterns. Data Visualization: Creating charts, graphs, and dashboards to present data insights effectively. Reporting: Generating reports and summaries to communicate findings and recommendations to stakeholders. Collaboration: Working with cross-functional teams to understand data requirements and deliver actionable insights. Learning and Development: Continuously expanding knowledge and skills in data analysis techniques and tools. Key Skills: Data Analysis: Understanding of statistical methods, data analysis techniques, and tools. Data Visualization: Proficiency in using visualization tools like Tableau, Power BI, or Excel. Data Management: Knowledge of data cleaning, transformation, and quality assurance. Communication: Ability to clearly and concisely communicate data insights to stakeholders. Technical Skills: Basic programming skills (e.g., Python, R), SQL knowledge, and proficiency in Excel. Career Path: With experience, Junior Data Analysts can progress to roles like Senior Data Analyst, Data Scientist, or Data Analytics Manager. They may also specialize in specific industries or data analysis areas.