Data Collection and Management: 

• Collect, clean, and preprocess large datasets from internal and external sources. 

• Ensure data quality, consistency, and integrity by performing regular audits. 

Data Analysis: 

• Analyze complex datasets to identify trends, patterns, and insights. 

• Create meaningful reports and visualizations to communicate data findings effectively. 

• Conduct exploratory and predictive data analysis to uncover actionable insights. 

Reporting: 

• Prepare and present clear and concise reports to key stakeholders, including management and department heads. 

• Develop and automate standard reporting templates using data visualization tools like Power BI, Tableau, or similar platforms. 

• Provide actionable recommendations based on data analysis to improve business strategies and processes. 

Collaboration: 

• Work closely with business units, including Tech and Finance, to understand their data needs and deliver insights that support their goals. 

• Participate in cross-functional teams to address data-related challenges and opportunities. 

Data Tools and Techniques: 

• Use SQL, Excel, and other analytical tools to extract, clean, and analyze data. 

• Implement statistical analysis and data mining techniques to solve business problems. 

• Stay up to date with the latest industry trends, tools, and best practices in data analysis