Key Responsibilities:
1. Data Gathering and Collection:
• Collaborate with various departments to understand data needs and requirements.
• Collect, extract, and compile data from multiple sources, including databases, spreadsheets, APIs, and more.
2. Data Cleaning and Preparation:
• Clean and preprocess data to ensure accuracy, consistency, and completeness.
• Handle missing data and outliers, and standardize data for analysis.
3. Data Mapping and Schema Development:
• Create data mapping documents and data dictionaries to provide a clear understanding of data structures.
• Define data schemas and maintain data lineage to track the flow of data within the organization.
4. Data Analysis:
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies in the data.
• Develop and execute data analysis plans to answer specific business questions and solve data-related problems.
5. Data Visualization:
• Create visual representations of data using tools like charts, graphs, and dashboards to communicate findings effectively.
6. Reporting and Presentation:
• Prepare and deliver reports, presentations, and insights to stakeholders, providing actionable recommendations based on data analysis.
7. Quality Assurance:
• Implement data quality checks and validation processes to ensure data accuracy and reliability.
8. Data Integration and Transformation:
• Assist in data integration efforts, including ETL (Extract, Transform, Load) processes, to consolidate data from various sources.
9. Documentation:
• Maintain detailed documentation of data analysis methodologies, mapping procedures, and data sources.
10. Collaboration:
• Collaborate with cross-functional teams, data engineers, and data scientists to support data-related projects and initiatives.