Senior Analyst

Organization

iMMAP Inc. is an international nongovernmental organisation that provides information management services to humanitarian and development organizations. Through information management, we help our partners target assistance to the world’s most vulnerable populations. Our core philosophy is that better data leads to better decisions and that better decisions lead to better outcomes. iMMAP Inc.’s critical support to information value chains helps to solve operational and strategic challenges of our partners in both emergency and development contexts by enabling evidence-based decision-making for better outcomes.

Background

iMMAP Inc. is extending its operations in Lebanon to support the ongoing humanitarian efforts. iMMAP Inc. aims at strengthening and enhancing the humanitarian response and coordination capacities in Lebanon through the implementation of a Humanitarian Information Support Team (HIST). The HIST will comprise a group of technical experts available to support the humanitarian community operating in Lebanon by providing information management support, including structured coordination processes and tools.

Presentation

The Senior Analyst will supervise and plan to produce analytical products based on secondary data and coordinate with other stakeholders to identify information gaps, process requests for analysis, and support humanitarian clusters. S/he will ensure analytical standards are respected throughout the process and analyse specific topics while ensuring coordination with stakeholders on the ground. S/he will also facilitate scenario development.

The Senior Analyst will be under the management of iMMAP Inc. Project Manager.

Data Collection and Management

• In support to the HIST team, collect, clean, and validate data from various sources to ensure accuracy and reliability.
• In support to the HIST team, develop and maintain databases and data management systems relevant to humanitarian response.

Data Analysis

• Conduct relevant analyses and interpret data to identify trends, patterns, and insights that inform humanitarian response strategies.
• Utilize AI and machine learning algorithms to analyze large datasets and predict outcomes that can enhance planning and resource allocation.

Reporting and Visualization

• Create comprehensive reports and dashboards to present data insights to OCHA, clusters, and humanitarian stakeholders in Lebanon.
• Develop data visualizations to communicate complex data in an accessible and understandable manner, aiding decision-making processes.
• Lead the delivery of project reports (contextual and thematic reports) in close coordination with the Technical Content writer/editor.

AI Integration

• Implement AI tools and techniques to automate data processing and analysis tasks.
• Develop predictive models and algorithms to support proactive and informed decision-making in humanitarian response efforts.

Collaboration and Capacity Building

• Work closely with OCHA and cluster teams to identify data needs and provide analytical support.
• Train and support OCHA and cluster staff in data analysis and AI tools and techniques to build internal capacity, as relevant.

Continuous Improvement

• Stay updated with the latest developments in data analytics and AI.
• Identify opportunities for improving data processes and implementing new technologies to enhance humanitarian response efforts.

General Duties

• Perform any additional duties as requested by management to support various organizational visualization needs.

Requirements

• Education
• University degree (Bachelor’s degree or higher) in Data Science, Statistics, Computer Science, or a related field.
• A High School diploma combined with an extensive relevant professional experience may be accepted in lieu of a university degree.
• ESSENTIAL EXPERIENCE:
• Minimum of 5 years of experience in data analysis or a related field.
• Proven experience in applying AI and machine learning techniques to real-world problems.
• Experience working with humanitarian organizations or in a related field is a plus.
• TECHNICAL SKILLS:
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Familiarity with AI frameworks and libraries such as TensorFlow, Keras, or PyTorch.
• Knowledge of SQL and database management.
• Soft skills
• Flexible and adaptable to any situation.
• Self-reliant and able to work independently.
• Great team player.
• Take initiatives.

Guiding Principles

Personnel is expected to conduct itself in a professional manner and respect local laws, customs and iMMAP Inc.’s policies, procedures, and values at all times and in all Countries.

iMMAP Inc. has zero-tolerance for sexual harassment, exploitation and abuse, human trafficking, child abuse and exploitation. Any violations of these principles and policies will be treated as serious misconduct.

iMMAP Inc. is an Equal Opportunity Employer regardless of background.