SAS , Data analyst, M.sc Nursing
Candidate Information
Full Name
Asha Kumari
Age
34
Education
M.sc Nursing, MBA
Experience
8 years
Job Type
Full-time
Contact Details
Phone
Email
Address
Dehuroad, Kiwale, India
State
Maharashtra
Country
India
About candidate
About you
I am a dedicated healthcare professional with a strong background in clinical nursing, infection control, and healthcare data analysis. With over 9 years of experience in nursing education, clinical coordination, and data analyst, I have transitioned into healthcare data analytics to bridge the gap between clinical expertise and data-driven decision-making. I have hands-on experience with tools like REDCap, Speedy Audit, SAS, Excel, and Power BI for managing patient records, infection control audits, and medical research data.
What are you looking for in a new role?
I’m looking for a role where I can apply my clinical background and growing expertise in data analytics to support evidence-based decision-making in healthcare. A collaborative, learning-focused, and remote-friendly environment where I can continue to grow .
What you are interested in working with us?
I’m interested in working with your organization to apply my clinical and data analytics skills in improving healthcare outcomes. Innovation and data-driven care aligns with my passion for impactful, patient-centered work.
What has been most challenging experience in a past role?
One of the most challenging experiences was implementing infection control audits in a high-pressure ICU environment. Ensuring compliance while maintaining rapport with busy clinical staff required strong communication, patience, and adaptability—but it also strengthened my skills in data collection, analysis, and collaborative problem-solving under pressure.
Cover latter
As a nurse and data analyst with 9+ years of healthcare experience, I bring clinical insight and analytical skills to support data-driven decisions. Proficient in REDCap, SAS, and Excel, Power BI, I’m eager to contribute to improving patient outcomes through accurate data management and meaningful healthcare insights in a remote setting.