BUSINESS INTELLIGENCE DEVELOPER AND DATA ANALYST
SEMICOLON SMART SOLUTION
Total des années d'expérience :1 years, 11 Mois
• Data Acquisition and Processing: Develop and implement ETL (Extract, Transform, Load) pipelines to automate data extraction, cleaning, and transformation from various sources (databases, APIs, web scraping). Perform data cleaning tasks to ensure data quality for analysis. Structure and organize large datasets into a usable format for further analysis by creating data models and schemas.
• Data Analysis and Modeling: Conduct exploratory data analysis (EDA) to understand data characteristics, identify trends, and formulate hypotheses. Perform statistical analysis using Python to test hypotheses, identify significant relationships, and draw insights from data. Develop and implement predictive models to forecast future trends or outcomes based on historical data. Monitor and evaluate model performance metrics to refine and improve models.
• Data Visualization and Communication: Create data visualizations using Power BI to communicate insights effectively to stakeholders. Develop interactive dashboards to enable deeper exploration and analysis of data by users. Present data-driven insights and recommendations to business leaders, supporting decision-making processes.
• Clean and preprocess large datasets.
• Analyze data for patterns and trends using statistical methods and software.
• Extract useful information and identify patterns in data.
• Manage data storage, design efficient pipelines, and resolve integration issues.
• Build predictive models to forecast future trends and outcomes.
• Create visual reports and presentations.