Data Analyst

Introduction:

The candidate is an accomplished Data Professional and Data Trainer with extensive experience in analytics, automation, project management, and learning & development. They have successfully led large-scale data-driven projects, improving operational efficiency, process automation, and decision-making. Their expertise spans data engineering, data analysis, and business intelligence, utilizing tools like SQL, Power BI, Azure Data Explorer, Databricks, Alteryx, and Trifacta. They have a strong background in ETL processes, data wrangling, and exploratory data analysis (EDA) techniques, including Principal Component Analysis (PCA), to optimize workflows and enhance data quality. The candidate has also played a key role in automating reporting processes, implementing AI-driven insights, and reducing manual processing time. With experience in agile project management, stakeholder collaboration, and training & development, they have conducted large-scale training sessions on SQL, Excel, and cloud-based tools. Their ability to translate complex financial and operational data into meaningful insights has enabled strategic decision-making across multiple industries, including fintech, manufacturing, and education. Additionally, they have successfully managed cross-functional teams, streamlined data workflows, and improved business processes through automation and data visualization.

Responsibilities:

• Led large-scale data analytics projects to optimize workflows and improve decision-making.
• Implemented automation solutions using ETL tools like Alteryx and Trifacta to streamline data processing.
• Developed and maintained interactive dashboards using Power BI, Qlik Sense, and Excel for real-time data visualization.
• Conducted Exploratory Data Analysis (EDA) and applied Principal Component Analysis (PCA) for data quality improvement.
• Automated manual data ingestion processes using Power Automate and AI-driven workflows.
• Designed and managed SQL-based data pipelines for efficient data extraction, transformation, and loading.
• Provided technical training on SQL, Excel, Google Sheets, and cloud-based data tools to large audiences.
• Collaborated with cross-functional teams to identify business needs and deliver data-driven insights.
• Optimized end-to-end analytics processes, reducing project turnaround times and improving accuracy.
• Enhanced financial and operational reporting by integrating AI tools with business intelligence platforms.
• Developed and implemented data-driven strategies to improve customer service and operational performance.
• Led training sessions for new hires on automation tools, data analytics methodologies, and industry best practices.
• Utilized Agile methodologies to manage and communicate data projects effectively with technical and non-technical teams.
• Managed and maintained databases to ensure timely availability of accurate primary and secondary data.
• Conducted business process analysis to identify gaps and recommend process improvements using data insights.
• Created scripts and automation workflows to reduce manual workload and increase operational efficiency.
• Provided strategic insights by analyzing large-scale financial and operational data for key business decisions.
• Supported resource management and data quality control to ensure consistency in reporting and analytics.
• Assisted in the development of machine learning models and predictive analytics to enhance business operations.