Palladium is a global leader in the design, development and delivery of Positive Impact – the intentional creation of enduring social and economic value. We work with governments, businesses, and investors to solve the world’s most pressing challenges. With a team of more than 3,000 employees operating in 90 plus countries and a global network of over 35,000 experts, we help improve economies, societies and, most importantly, people’s lives.
- Job Type: Full Time
- Qualification: BA/BSc/HND
- Experience: 3 years
- Location: Sokoto
- Job Field: Data Science / Research
Primary Duties and Responsibilities:
- Responsible for monitoring, analyzing, and reporting HMIS data;
- Analyzes and troubleshoots HMIS user issues to implement a resolution or escalate the case to Pathways staff;
- Provides ongoing training and technical assistance to HMIS users via email, phone, and webcast, and on site as appropriate;
- Leads the development and implementation of data quality, management, and analysis plans;
- Provides on-site data quality assessment of LGA, health facilities, and others by assisting with implementation planning, including data entry process improvement;
- Prepares regular and ad-hoc reports, analysis, presentations, charts, graphs, and other documents as assigned;
- Performs data quality checks and monitors for gaps.
- Reports to HMIS Specialist
Required Qualifications:
The Data Analyst will have some experience and up-to-date knowledge and skills in MIS and M&E for health systems and healthcare provision. S/he must be familiar with the HMIS data context at the State level and working with health facilities and LGA for data collection, reporting and use. S/he should have experience with USAID / International donor programs. Additional qualifications include:
- A Bachelor’s degree / HND in demography, statistics, information technology, public health information management or related field.
- Minimum of 3 years of working with HMIS for public health
- Experience in using NHMIS Tools and DHIS2
- Competency in MS Word and Excel. Experience using statistical software a plus
- Good oral and written communication skills
- Experience in facilitation of training workshops and onsite mentoring of health workers
- Fluent in English (written and oral communication) and Hausa
