Data Analyst. at Palladium International

Diversity, Equity & Inclusion – We welcome applications from all sections of society and actively encourage diversity to drive innovation, creativity, success and good practice. We positively welcome and seek to ensure we achieve diversity in our workforce; and that all job applicants and employees receive equal and fair treatment regardless of their background or personal characteristics. These include: (but are not limited to) socio-economic background, age, race, gender identity, religion, ethnicity, sexual orientation, disability, nationality, veteran, marital or Indigenous status.  

Should you require any adjustments or accommodations to be made due to a disability or you are a neurodivergent individual or any other circumstance, please email our team at accessibility@thepalladiumgroup.com

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Safeguarding – We define Safeguarding as “the preventative action taken by Palladium to protect our people, clients and the communities we work with from harm”. We are committed to ensuring that all children and adults who come into contact with Palladium are treated with respect and are free from abuse.  All successful candidates will be subject to an enhanced selection process including safeguarding-focused interviews and a rigorous due diligence process.

Project Overview

Funded under the US President’s Emergency Plan for AIDS Relief (PEPFAR) through a cooperative agreement with the US Centres for Disease Control and Prevention (CDC), Palladium Development and Consultancy Kenya Ltd (Palladium Kenya) anticipates 5-year funding to support the Kenya Ministry of Health, county governments and healthcare service delivery partners to implement technological innovations in health information systems.

These innovations include the scale up of electronic medical records systems (EMRs) for clinical decision support and improved patient care,  the enhancement of the Kenya National Data Warehouse (NDWH), a centralized data repository of data from EMRs for analysis and reporting, the development of an interoperability layer to support the exchange of data across systems, the enhancement of mHealth solutions and numerous other innovations including  patient identification and informatics solutions to support health surveillance.

 Primary Duties and Responsibilities: 

• Implement sustainable strategies to improve quantity (improved reporting rates) and quality of available data in the DWH.
• Support data cleaning, mapping (including accurate mapping of facilities and partners), data quality assessments and feedback to internal and external stakeholders
• Support evaluations and studies using the DWH as a data source including preparation of ad hoc data sets and capacity building them to access the data on their own.
• Support the development of capacity development materials for the DWH.
• Develop and maintain dashboards including data modeling for visualization.
• Work with SECCAH to support end user training and support.
• Work closely with other Data Analysis & Use team members to develop and disseminate information products.
• Support DWH in the development and maintenance of DWH-related documentation and data dictionaries.
• Advise the DWH team and Data Analysis & Use team members on the required enhancements to DWAPI to meet stakeholder needs.

Required Qualifications:

•  University education in computing, statistics, or science would be highly regarded.
• A minimum of 3 years’ experience in the same or similar position
• Programming Languages (R/STATA/Python) – Proficient and working knowledge in one or more of these programming languages (R, Python or STATA) for data gathering, data cleaning, statistical analysis, and data visualization.
• Creative and Analytical Thinking – Excellent problem-solving skills including the ability to analyze and resolve complex problems
• Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds
• Experience with data visualization tools such as Tableau and Power BI
• Strong SQL (especially Teradata) can extract data from large databases using SQL to develop data queries
• Advanced Microsoft Excel – Efficient with spreadsheet tools such as Microsoft Excel or Google Sheets.
• Fluent in English both spoken and written