Job Opportunities at Lutheran World Federation

The Audiologist will assess, diagnose, and treat hearing loss in adults and children as well as provide advice on access to quality learning through school placement and fitting of hearing aids as appropriate.

DUTIES AND RESPONSIBILITIES

• Plan, coordinate and implement audio logical services as well as providing support for integration to Special Needs Education (SNE) services.
• Schedule appointments, evaluate and administer standard diagnostic tests and procedures to children and adults as appropriate.
• Provide recommendations for further audio logical or support services as necessary.
• Assist teachers in development and implementation of curriculum modification and appropriate classroom strategies.
• Monitor learners’ progress and make informed, timely and appropriate follow up actions and decisions to facilitate learners with communication and education deficits.
• Facilitate school placement to integrate deaf and hearing-impaired learners for inclusive education.
• Prepare and submit periodic (daily, weekly, monthly, quarterly, semi-annually, and annual) reports of activities, evaluations, recommendations, and action plans.

QUALIFICATIONS AND EXPERIENCE

• Bachelor’s degree in Special Needs Education or Diploma in Audiology.
• Proven experience of minimum 3 years working with humanitarian and development programme.
• Certification and membership to professional body
• An impeccable professional standard of ethics as well as the willingness and ability to implement accountability activities within the LWF World Service essential.

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Data Monitoring & Data Quality

• Lead and manage the Program Data Management work stream activities and ensure that program related data in the program area is accurate and timely to support decision making and reporting.
• Review/develop data collection tools to harmonize data collection and processes and ensure all staff adhere to its usage and guidelines
• Conduct monthly data quality audits (DQA) to ensure accuracy and validity of data collected in compliance with data management SOPs.

Data Analysis

• Carry out basic data analysis and provide feedback on the patterns that consistently be used by the management for decision making.
• Facilitate collaboration with Technical Leads to use data trends to inform program implementation and project perfromance
• Conduct additional analyses in support of understanding program performance and opportunities for improvement
• Collaborate with project teams to track progress on project objectives and indicators and inform implementation strategy using monitoring data

Data system Development

• Develop, design and regularly review data management SOPs to document processes for data collection, storage, sharing, and transfer
• Support data collection for ongoing studies/ assessments in collaboration with Programs teams
• Continuous data cleaning in the ActivityInfo database
• Additional DMO responsibilities
• Contribute to capacity building of the project team on data management
• Any other duty, as guided by line manager

Qualifications

• Bachelor’s Degree in Statistics, Computer Science or ICT
• At least 2 years of progressively responsible and directly relevant professional experience in a humanitarian context, with at least 1 year of data management experience in preferably Protection and Education programs in INGO context.
• Possess working knowledge and experience of humanitarian principles, laws and standards – Core Humanitarian Standards (CHS), Sphere Minimum Standards, Prevention of Sexual Exploitation and Abuse (PSEA), Rights Based Approach (RBA) and Gender Age Marker.
• Experience in dealing with sensitive socio-political situations and working and living under pressure in unstable security environments and with long and irregular working hours would be an added advantage.
• Experience with mobile Data Collection tools and techniques using Ms. Excel, ActivityInfo and Kobo Collect tools.
• Experience developing and supporting data analysis (basic descriptive statistics) and visualizations for M&E ideally using Ms. Excel, SPSS, Power BI or Tableau.