Detail-oriented Data Analyst with 2+ years of experience in data management, reporting, and business intelligence in the healthcare administration sector. Proficient in SQL, Power BI, MS Excel, MongoDB, and Python for da…
Detail-oriented Data Analyst with 2+ years of experience in data management, reporting, and business intelligence in the healthcare administration sector. Proficient in SQL, Power BI, MS Excel, MongoDB, and Python for data extraction, data cleaning, data validation, and dashboard creation. Seeking to leverage strong analytical and problem-solving skills in a Data Analyst role.
Managed and maintained large volumes of administrative and student data records, ensuring accuracy and consistency across all systems.
Designed and developed Power BI dashboards and Excel-based reports to provide actionable insights for management decision-making.
Performed data extraction, data cleaning, and data validation on structured datasets using SQL and MS Excel.
Generated periodic analytical and summary reports using MS Excel and database tools to track key performance indicators (KPIs).
Coordinated with multiple departments to collect, clean, and organize structured data for reporting purposes.
Utilized MongoDB for NoSQL database management and efficient data storage operations.
Automated repetitive data processing tasks, reducing manual effort and improving reporting turnaround time.
Ensured data integrity and compliance with institutional data management standards and policies.
Managed and maintained large volumes of administrative and student data records, ensuring accuracy and consistency across all systems., Designed and developed Power BI dashboards and Excel-based reports to provide actionable insights for management decision-making., Performed data extraction, data cleaning, and data validation on structured datasets using SQL and MS Excel., Generated periodic analytical and summary reports using MS Excel and database tools to track key performance indicators (KPIs)., Coordinated with multiple departments to collect, clean, and organize structured data for reporting purposes., Utilized MongoDB for NoSQL database management and efficient data storage operations., Automated repetitive data processing tasks, reducing manual effort and improving reporting turnaround time., Ensured data integrity and compliance with institutional data management standards and policies.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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