Business Analyst

Data Collection and Integration:

• Gather and consolidate data from multiple sources, including databases, APIs, and spreadsheets.
• Design and implement data integration processes to ensure data accuracy and consistency.

Data Analysis and Visualization:

• Perform in-depth analysis of complex datasets to identify trends, patterns, and outliers.
• Develop interactive dashboards and reports using Qlik, Power BI, and other tools to visualize data and communicate insights effectively.

Data Modeling and Transformation:

• Design and implement data models to support business requirements and analytical needs.
• Transform raw data into actionable insights through data cleansing, normalization, and manipulation.

Statistical Analysis and Predictive Modeling:

• Conduct statistical analysis to uncover relationships and correlations within the data.
• Build predictive models and machine learning algorithms to forecast future trends and outcomes.

Data Quality Assurance:

• Perform data quality checks and validation to ensure data accuracy, completeness, and consistency.
• Develop and implement data governance policies and procedures to maintain data integrity.

Collaboration and Communication:

• Collaborate with cross-functional teams to understand business requirements and objectives.
• Communicate findings and insights to stakeholders through reports, presentations, and data visualizations.

Continuous Improvement:

• Stay up-to-date on industry trends, best practices, and emerging technologies in data analytics.
• Identify opportunities for process improvement and optimization to enhance data analysis capabilities.