Dedicated data analyst with 6 months of experience in interpreting and analyzing complex data sets to drive business decisions. Proficient in data visualization, statistical analysis, and data mining techniques. Skilled in using tools such as SQL, PowerBI, and Excel to extract insights and create actionable reports. Proven track record of improving operational efficiency and optimizing processes. Strong communication and problem-solving abilities, with a focus on delivering high-quality results to meet business objectives.
· Created interactive dashboards in Power BI to visualize customer engagement metrics and identify areas for improvement in marketing campaigns.
· Prepared monthly performance reports for executive management, highlighting key metrics and actionable recommendations based on data analysis.
· Assisted Data Team in getting NPS and Response Rate for Foundation of Directorship Course.
· Participated in a data migration project to integrate data from legacy systems into a new CRM platform.
· Collaborated with cross-functional teams to deliver data insights and results
· Organized and categorized historical data to identify existing trends and forecast future trends and outcomes and reporting to the higher team.
·Presented data and conclusions to team to improve strategies and operations.
· Gathered data from ServiceNow databases and other relevant sources to extract information related to IT Service Management, Incident Management and change management.
· Conducted in-depth analysis of ServiceNow data to identify trends, patterns, and insights related to IT service performance, user behaviour, ticket resolution times, and service availability.
Microsoft Excel: Proficient in data manipulation, formulae, pivot tables, and data visualization using Excel
Power BI: Ability to design and develop BI reports and dashboards for data-driven decision-making
SQL: Strong SQL skills for querying and manipulating data in relational databases like MySQL, Microsoft SQL Server using Join, Group By, CTE, Window Functions
Data Cleaning and Preprocessing: Proficient in cleaning and transforming raw data into usable formats for analysis
Data Aggregation: Ability to aggregate and summarize large volumes of data for trend analysis and reporting
Time Series Analysis: Familiarity with time series forecasting techniques for analyzing temporal data
Problem-solving and Critical Thinking: Strong analytical and problem-solving skills to tackle complex data challenges
· Capacity to analyze data, identify patterns, and solve problems using logical and systematic approaches.
· Keen attention to detail to ensure data accuracy, completeness, and consistency throughout the analysis process.
· Skill in prioritizing tasks, managing workload efficiently, and meeting deadlines in a fast-paced environment.
· Willingness and ability to quickly learn new tools, technologies, and methodologies related to data analysis.
· Commitment to continuous learning and professional development in data analysis, tools, and techniques.