Data Analyst

Embark on a Career with Qualisus Consulting: a social development consulting firm with a presence in Lebanon and the UAE, Based in Byblos, Lebanon. Our expertise extends throughout the MENA region, spanning over more than thirteen countries.

What We Do:
1. Impact Measurement:
2. Research and Innovation:
3. Programme Development and Management
4. Capacity Building

Thematic Expertise: Focused on programmes targeting children and youth, we excel in Education, Protection, Mental Health and Psychosocial Support, Basic Assistance, Gender/GBV, and Inclusion.

Who We Serve: private companies, public institutions, non-profit organizations, UN agencies and donors.

Explore Your Future with Us:

At Qualisus Consulting, We are looking for a Project Based Data Analyst to manage and analyze data collected throughout the project phases, ensuring its quality and relevance. 

By:

Managing, cleaning, and securing quantitative data collected from field monitoring activities.

Collaborating with field teams to ensure accurate data collection and compliance with data protection regulations.

Developing high quality reports and presentations for stakeholders, based on data analysis and findings.

Supporting the team in synthesizing and organizing data to contribute to in depth analysis.

Qualifications:

Preferable:

Strong analytical and critical thinking skills.

Proficiency in data management and analysis tools.

Ability to synthesize data for project reporting and insights.

Experience in humanitarian or development project environments.

Experience:

To Fit in This Role:

Master’s degree in a quantitative field (e.g., Statistics, Economics, Public Health, Epidemiology) or a bachelor’s degree with equivalent practical experience.

Minimum of 5 years of relevant experience in data analysis 

Proven experience in data management and report writing.

Excellent verbal and written communication skills in Arabic and English.

Strong organizational and time management skills.

Attention to detail and high accuracy.

Proficiency with data analysis software (e.g., SPSS, R, Python) and office software (e.g., MS Office Suite).

Flexibility and adaptability to changing project requirements.