وظائف شاغرة للعمل لدى منظمة Train Train: مطلوب مساعدين باحث

Train/Train is dedicated to establishing a sustainable and efficient multimodal public transport system in Lebanon and the region, with the railway as its central component. Collaborating with stakeholders, they advocate for meaningful public policy changes and street design enhancements. Their mission extends beyond infrastructure; they aim to create accessible hubs that address economic challenges, foster sustainable development, enhance connectivity, and contribute to environmental preservation. By emphasizing equitable access to public transport and recognizing its role as a low-carbon transportation mode, Train/Train actively works to reduce socioeconomic disparities in mobility and combat climate change. Additionally, they prioritize making public transportation accessible, affordable, and reliable, ensuring seamless transportation experiences for everyone, including refugees.

Beyond their focus on public transport, Train/Train also addresses other socio-economic challenges and development opportunities in Lebanon. They work on social cohesion and good governance, contributing to fact-based policy development and public debate. Through these efforts, Train/Train aims to enhance Lebanon's overall quality of life, promoting inclusive growth and sustainable progress.

Title: Research Assistant

Salary: 600 USD/month

Location: Lebanon hybrid

Contract: 4-month  Freelance contract

Hours: This is a part-time role

About the role

Train/Train Lebanon in cooperation with Konrad-Adenauer-Stiftung, Lebanon Office in Beirut (KAS) work to implement a research titled “Syrian Refugee in Lebanon's Economy” that seeks to explore and compare the impact of formal versus informal economic activities on Syrian refugees and host communities within Lebanon.

Train Train as implementing partner is seeking a Research Assistant to support our new Research, “Syrian Refugee in Lebanon's Economy.”

The Research Assistant will understand economic and refugee integration policies. They will work alongside other Research team members to identify work to understand and analyze economic activities, income levels, and livelihoods and understand how formalization influences the financial well-being of refugees and locals, particularly in Akaar North Lebanon and Bekaa—the economic impact of municipal policy. There will also be opportunities to be involved in research using traditional quantitative and qualitative methods, including health system assessments, surveys, and focus group discussions.

As a successful candidate, you will possess a bachelor degree in social sciences, data sciences, data management, or other related fields and have good knowledge and experience in working with refugee data in the Lebanese context, which is essential for this role.

Further requirements include:

• Knowledge of statistical programming languages like SPSS, Nvivo, Atlasti…
• Experience in basic and advanced analytical techniques.
• Demonstrated knowledge of data visualization tools such as Tableau and Power BI.
• Understanding of the key research methods and research governance.

Candidates are welcome to demonstrate their ability to match the person's specifications by expanding on how their experience, training, and qualifications might have provided them with the knowledge or skills required for the role. Successful candidates will be appointed on merit.

Please submit your CV via our recruitment email to apply for this exciting new opportunity. We are particularly interested in learning about your motivations.

Required qualifications, competencies, and experience

Qualifications

•             Bachelor's degree in Business administration or equivalent

•             Working experience in administration and program management.

•             Good organizational skills.

•             Excellent knowledge of written and spoken Arabic and English.

•             Good computer skills (incl. Powerpoint, Word, and Excel in a Microsoft Windows environment).

•             Ability to work in an intercultural environment.

•             Demonstrate dependability and self-motivation.

•             Maintain a high level of personal integrity and reliability.

Closing date:25 July 2024