About Me
Data Analyst with professional experience in healthcare and retail analytics, focused on translating business requirements into actionable insights. Proficient in SQL, Python, and BI tools to develop dashboards and track…
Data Analyst with professional experience in healthcare and retail analytics, focused on translating business requirements into actionable insights. Proficient in SQL, Python, and BI tools to develop dashboards and track key performance indicators that support operational decision-making. Skilled in collaborating with cross-functional stakeholders including clinical and operations teams to monitor performance and improve data reporting accuracy. Committed to maintaining data integrity and expanding technical proficiency in data warehousing and cloud environments.
Experience
Business Analyst
<p>Collaborated with clinical and operational stakeholders to define and track healthcare KPIs including patient outcomes and claims processing efficiency.</p><p> Developed and maintained Power BI dashboards to ensure timely access to performance metrics across clinical and operations teams.</p><p> Assisted in monitoring data quality and flagging anomalies within electronic health records and claims datasets to support accuracy.</p><p> Partnered with data engineering and senior analyst teams to document data definitions, report requirements, and query logic.</p><p> Contributed to ad-hoc analyses and operational reporting cycles to assist teams in data-driven decision-making processes.</p><p> Supported user acceptance testing (UAT) cycles for SQL-based reporting changes, ensuring compliance with healthcare data governance standards.</p>
Data Analyst
<p>Built and maintained recurring reports and dashboards to track sales growth, inventory turnover, and regional performance metrics.<br>
Implemented Python-based data profiling and validation checks on transactional datasets to identify and resolve data inconsistencies.<br>
Collaborated with cross-functional teams to answer recurring business questions and surface actionable operational insights.<br>
Automated manual weekly reporting tasks, improving the reliability and turnaround time for performance metrics provided to store managers.<br>
Contributed to data reconciliation efforts between point-of-sale and financial systems to ensure data integrity and completeness.<br>
Documented query logic and reporting definitions to facilitate transparency and reproducibility for future analytical work.</p>