· Gathering data from various sources, cleaning and transforming it for analysis, and ensuring data quality.

· Applying statistical methods and tools to identify patterns, trends, and anomalies within the data.

· Interpreting analyzed data to extract meaningful insights and actionable recommendations.

· Creating reports, dashboards, and visualizations to communicate findings effectively to stakeholders.

· Maintaining databases, ensuring data integrity, and optimizing data systems.

· Providing data-driven insights to help organizations make informed decisions.

· Developing reports to track key performance indicators (KPIs) and business metrics.

· Skills and Qualifications:

· Analytical Skills: Strong ability to analyze data, identify trends, and draw conclusions.

· Data Visualization: Proficiency in using tools like Tableau or Power BI to create compelling visualizations.

· Statistical Knowledge: Understanding of statistical concepts and methods.

· Programming Skills: Familiarity with programming languages like Python or R for data manipulation and analysis.

· Data Management: Knowledge of database systems and data warehousing.

· Communication Skills: Ability to communicate findings clearly and concisely to both technical and non-technical audiences.