Data Analyst at Ruaraka Uhai Neema Hospital

  • Full Time
  • Nairobi
  • Applications have closed

Ruaraka Uhai Neema Hospital

Ruaraka Uhai Neema Hospital is currently recruiting for a Full Time Job position based in Nairobi. This opportunity is open to qualified candidates looking to grow in the Job sector in Kenya. Review the full requirements below and apply before the deadline.

📋 Job Overview

  • Category: Not specified
  • Job Type: Full Time Jobs
  • Location: Nairobi
  • Company: Ruaraka Uhai Neema Hospital
  • Application Deadline: Rolling basis
  • Last Updated: April 10, 2024

Data Analyst at Ruaraka Uhai Neema Hospital – Ruaraka Uhai Neema Hospital Kenya Job Details

  • The Data Analyst will be responsible for conducting full lifecycle analysis, monitoring performance and quality control plans to identify improvements.

Duties and Responsibilities for the Data Analyst Job

  • Interpreting data, analyzing results using statistical techniques and providing ongoing reports;
  • Developing and implementing databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality;
  • Acquiring data from primary or secondary data sources and maintaining databases/data systems;
  • Identifying, analyzing and interpreting trends or patterns in complex data sets;
  • Filtering and “cleaning” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems;
  • Identifying gaps and scopes for enhancement of the hospital HMIS, thus recommending improvements to better serve quality data purposes and reporting requirements.

Data Analyst Job Qualifications

  • Bachelor of Science in Mathematics, Economics, Computer Science, Statistics or its accepted equivalent;
  • Proven working experience of at least one (1) year as a data analyst;
  • Previous experience in a healthcare provider setting is considered an advantage;
  • Proven knowledge and experience in data models, database design development, data mining and segmentation techniques;
  • Proven Knowledge and experience in using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.)

Method of Application

Applications to be sent to [email protected] by 15th April 2024

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