Data Analyst | Hybrid

Job Description: Data Collection and Preparation Collect data from different sources and make sure it is accurate and complete. Clean, organize, and check data before using it. Help build and maintain databases and data systems. Data Analysis Analyze data to find trends and patterns. Help improve methods for analyzing data. Turn data into useful insights using statistical tools. Reporting and Visualization Create reports, dashboards, and charts. Present data in a clear and easy-to-understand way. Make sure reports are accurate and delivered on time. Collaboration and Communication Work with teams like Marketing, Sales, and Operations to understand their data needs. Share insights with both technical and non-technical team members. Join meetings and contribute ideas about data use. Data Quality and Governance Check and fix data issues to keep it accurate. Follow company rules for handling data. Document data sources and processes clearly. Professional Development Keep up with new trends and tools in data analytics. Improve skills in data tools and programming. Attend trainings and learning sessions. Qualifications: Bachelor's degree in Information Technology, Computer Science, Statistics, Mathematics, or a related field. At least 3-5 years of experience in Data Analytics, Data Analysis, or a related role. Hands-on experience in Exploratory Data Analysis (EDA) , including data cleaning, data profiling, identifying trends, patterns, and anomalies. Proficient in SQL, Excel, and Python (Pandas, NumPy) for data extraction, manipulation, and analysis. Experience using Power BI, Tableau, or similar visualization tools to create dashboards and reports. Knowledge of statistical analysis, data validation, and data quality management. Ability to analyze large datasets and translate findings into meaningful business insights. Strong analytical, problem-solving, communication, and stakeholder management skills.