Data Analyst

• Collect, process, and analyze large datasets to identify trends, patterns, and insights. 
• Develop and maintain dashboards and reports to track key performance indicators (KPIs).
•  Use statistical methods to analyze data and generate useful business reports. 
• Collaborate with internal teams to understand data needs and provide data-driven solutions.
•  Write and optimize SQL queries to extract data from databases. 
• Utilize Python for data manipulation, analysis, and visualization. 
• Present findings and recommendations to stakeholders in a clear and concise manner.
•   Ensure data accuracy and integrity in all analytical outputs. 
• Stay up-to-date with industry trends and best practices in data analysis and visualization

 Requirements: 

•  Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
•  Minimum of 2 years of experience in a data analyst role with a focus on Python.
•  Proficiency in Python for data analysis and visualization (e.g., pandas, numpy, matplotlib, seaborn).
• Experience with SQL and relational databases.
•   Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. 
•  Excellent communication and presentation skills. 
•  Ability to work independently and collaboratively within a team. 
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. 
• Knowledge of machine learning and statistical modeling techniques is a plus.