Data Analyst
Current•Utilized Python, VBA scripting, and advanced Excel to efficiently process and analyze large datasets, resulting in a reduction of data processing time. Developed complex macros that automated tasks, leading to an increase in data manipulation efficiency•Created interactive visualization dashboards and reports using Tableau to present findings to end clients and stakeholders collectively led to an average increase in stakeholder engagement and a reduction in the time taken for clients to grasp key insights, ultimately enhancing efficiency•Designed and implemented SSRS reports to provide key performance indicators (KPIs) and business metrics to management and teams•Write DAX formulas to create calculated columns and measures for dynamic data analysis and reporting•Performed data transformations, aggregations, and manipulations to support various analytical needs. Curated and maintained datasets, ensuring data integrity and accuracy•Utilized SSRS for Analysis and reporting, hypothesis testing, and data exploration to extract meaningful insights from datasets. Collaborated with cross-functional teams to understand data requirements and deliver insights aligned with business objectives•Identified trends, patterns, and opportunities within the customer data to support decision-making processes. Provided actionable insights and recommendations to drive business strategy and operational improvements•Built and tested the scripts to automated enrichment/remediation of data and metadata (using SQL, Excel)•Applied new technologies to current processes for effective customer data management and developed and applied programmatic methods to analysis and visualization•Leveraged Power BI's data analysis capabilities to identify growth opportunities and trends within the organization's datasets