Data Analyst - Safety Department

Job Title: Communication - Data Analyst Designation: JE/ER/SE Experience: 3 to 8 Years Educational Background: Bachelors Degree + Course related to Data analysis (Non engineering) v Department - Safety Others (SFTY-O) 1. Data Collection and Management: Collecting data from primary and secondary sources. Cleaning and validating data to ensure accuracy, completeness, and uniformity. 2. Data Analysis: Analyzing data using statistical techniques and providing reports. Developing and implementing databases and data collection systems. 3. Reporting: Interpreting data and analyzing results using statistical techniques. Preparing reports that effectively communicate trends, patterns, and predictions using relevant data. 4. Problem-Solving: Working with management to prioritize business and information needs. Identifying, analyzing, and interpreting trends or patterns in complex data sets. 5. Collaboration: Collaborating with different departments to improve business outcomes. Liaising with stakeholders to understand data content and business requirements. 6. Tool and Technique Utilization: Utilizing tools and techniques for analyzing large databases. Designing and creating data reports and reporting tools to help business executives in their decision-making. 7. Process Improvement: Recommending and implementing ways to improve data reliability, efficiency, and quality. 8. Strategy Development: Supporting business decisions with ad hoc analysis as needed. Assisting with the development of analytics strategies that enable a data-driven approach to business. Requirements: 1. Educational Qualifications: Course related to Data analysis, Computer Science, Information Management, Statistics, Mathematics, or a related field. 2. Experience: Proven working experience as a Data Analyst or Business Data Analyst. Experience in data models and reporting packages. 3. Technical Skills: Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks). 4. Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. 5. Statistical Knowledge: Adept at queries, report writing, and presenting findings. Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.). 6. Communication Skills: Excellent communication and collaboration skills. 7. Problem-Solving: Strong problem-solving skills and critical thinking. 8. Time Management: Ability to manage time effectively and handle multiple tasks simultaneously. 9. Continuous Learning: Eagerness to learn and master new technologies and techniques.