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Data Analyst at Primed E Health

Primed E HealthLagos, Nigeria Data and Artificial Intelligence
Full Time
Since 2018, Primed E-Health has provided end-to-end E-healthcare solutions to digitize clinics and hospitals using our user-friendly and adaptable technology called, "The Smartclinic". The Smartclinic suite of technologies provides immediate access to healthcare and telemedicine services. Our platform addresses issues with long payment lines, crowds, and protracted wait times that are common in Nigerian hospitals. Smartclinic specializes in managing doctor visits, prescriptions, and medical billing. It also provides both online and offline access from any electronic device, offers configurable forms, monitors trends, sets off alerts, and generates reports. Allowing healthcare providers to organize their operations, track payments, cut waste, and improve the quality of care offered to their patients.

About the role

We are seeking a Data Analyst to join our team, someone passionate about turning data into actionable insights to drive our business forward. Our ideal candidate is detail-oriented, analytical, and proficient in data manipulation and visualization tools with experience in Health Tech.

Job Responsibilities 

  • Collect, process, and clean data from various sources to ensure accuracy and completeness.
  • Perform statistical analysis to identify trends, patterns, and anomalies in the data.
  • Develop and maintain dashboards and reports to visualize key metrics for internal stakeholders.
  • Collaborate with cross-functional teams to understand data needs and deliver insights that support decision-making.
  • Contribute to the development and implementation of data governance and data quality standards.
  • Stay updated on industry trends and advancements in data analysis tools and techniques.

Qualifications

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field.
  • Proven experience as a Data Analyst or similar role.
  • Strong proficiency in SQL and experience with database management.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of statistical software (e.g., R, Python) is a plus.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills, with the ability to present complex information clearly and concisely.

Method of Application

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