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.