Senior Data Manager

Job Summary

The Senior Data Manager will play a pivotal role in the Kenya Population-Based HIV Impact Assessment (KENPHIA II) survey, leading and directing all data management activities. This role involves managing the production of statistical studies and handling data using advanced statistical tools like SAS, STATA, R, and Python. The Senior Data Manager will also supervise data analysts and manage the presentation of findings to stakeholders.

Key Responsibilities:

• Data Management
• Develop the Survey Data Management Plan
• Handle large and complex data sets, ensuring data quality, integrity, and confidentiality.
• Develop and implement robust data management processes to ensure data accuracy and consistency.
• Manage large databases and maintain data systems using tools such as SAS, R, Python, and SQL.
• Oversee data cleaning and verification to ensure data quality and reliability.
• Prepare comprehensive data reports using appropriate data visualisation tools for effective communication with stakeholders.
• Employ advanced SQL scripting for complex data extraction and management.
• Support the design and review of survey instruments like questionnaires, tracking forms, etc.
• Analyse survey data using SAS ,STATA or R, accounting for design features like stratification, clustering, and weighting.
• Reporting and Presentations
• Write detailed analysis plans, finalize tabulation plans and descriptions of analyses and findings for research protocols or reports.
• Develop and present routine progress reports to stakeholders in weekly and monthly meetings using various data visualisation tools.
• Input real-time data to dashboards to provide stakeholders with live updates on the survey's progress.
• Prepare comprehensive data reports, including tables and graphs to present clinical or survey results.
• Team Management
• Lead, mentor, and monitor the performance of the data analysts and associates.
• Set performance standards and conduct performance appraisals.
• Statistical Study Design and Analysis
• Design, analyse, and implement targeted statistical studies for survey/public health research.
• Conduct statistical analyses complex survey data.
• Use SAS, STATA, R, and Python for data manipulation, analysis, and visualisation.
• Generate weighted point estimates and inference estimations for survey outcomes, applying Jackknife or Taylor series linearisation techniques as needed.

Requirements

Required Qualifications:

• Master's degree or higher in Statistics, Biostatistics, Data Science, or a related field.
• At least 5 years of experience in a data management role, preferably in a research or health care setting.
• Proficiency in statistical software such as SAS, STATA, R, and Python.
• Extensive experience with SQL scripting for complex data extraction and manipulation.
• Knowledge of advanced statistical methods, including longitudinal analysis, mixed-effect modelling, logistic regression analyses, and model-building techniques.
• Proven experience in survey instrument design and data collection in field studies.
• Strong leadership skills with experience in training and mentoring team members.
• Knowledge of variance estimation techniques such as Jackknife and Taylor series linearisation.

Additional Requirements:

• Excellent written and verbal communication skills.
• Ability to work in a fast-paced environment and manage multiple tasks simultaneously.
• Deep understanding of public health surveys and response rates.
• Demonstrated ability to explain complex technical concepts to non-technical stakeholders.
• Familiarity with the survey's study data system, including real-time data monitoring, household monitoring, field team management, laboratory sample tracking, quality and proficiency test tool, real-time dashboard, and linkage-to-care applications.