- As a dedicated Data Analyst at CeduraTech, I played a pivotal role in leveraging data-driven decision insights to enhance decision making and drive business growth, My Responsibilities included:- conducting thorough data analysis on various datasets, employing advanced SQL queries to extract, transform, and load data from diverse sources-utilizing python for data manipulation, cleaning and statistical analysis, contributing to the enhancement of overall data quality and integrity.-developing and maintaining interactive dashboards in Power BI, Providing visually appealing representations of complex data sets for interpretation by stakeholders.-employing statistical methodologies to analyze trends, patterns and anomalies within datasets.-translating complex data findings into clear and concise insights for non-technical stakeholders, ensuring effective communication and understanding of analytical results.-performed root cause analysis on nearby 2+ million records by querying data and loading it into power BI and Advanced Excel for further examination.

Requirements Gathering and Analysis: Worked closely with stakeholders to gather business requirements and translate them into technical specifications. Conducted detailed analysis to ensure alignment with business goals.Process Improvement: Identified inefficiencies in production processes and implemented improvements that enhanced productivity and reduced costs. Used Lean Six Sigma methodologies to drive continuous improvement.Project Management: Led cross-functional project teams to deliver projects on time and within budget. Managed project scope, timelines, and resources, ensuring successful project execution.Stakeholder Communication: Facilitated regular meetings with stakeholders to provide project updates, gather feedback, and ensure alignment with business objectives. Developed comprehensive documentation to support project activities.Data Analysis and Reporting: Analyzed production data to identify trends and insights. Created detailed reports and presentations to support decision-making and strategy development.Risk Management: Identified potential risks and developed mitigation strategies to minimize impact on project outcomes. Conducted regular risk assessments and updated risk management plans accordingly.Achievements:Improved production efficiency by 25% through the implementation of process optimization initiatives.Successfully managed a major production system upgrade, resulting in a 15% reduction in operational costs.Developed a comprehensive reporting framework that enhanced visibility into production performance and facilitated data-driven decision-making.