JOB DESCRIPTION

Under the overall supervision of the Head of the Talent Management and Workforce Planning team,
the intern will work with all members of the Human Resources unit who are involved in recruitment
and data analytics related tasks.

The particular functions are:
The intern is expected to assist in human resources data analytics, as well as contribute to
facilitate other talent management processes, including but not limited to:
In the area of HR data and data analytics
 Support in preparing and analyzing anonymized HR data to identify key trends and provide
actionable insights for decision-making
 Utilize data visualization tools (e.g., Excel, Power BI, Qlik or other tools) to present findings
clearly.
 Analyze applicant data and trends to assess the effectiveness of recruitment outreach and
processes.
 Help design and maintain dashboards tracking HR metrics and KPI and prepare reports on
recruitment metrics and HR performance indicators.
 Identify opportunities to streamline recruitment processes based on data-driven insights.
 Collaborate with the HR team to integrate data analytics into decision-making processes and
strategic planning.
 Stay updated with emerging HR technologies and analytics trends to propose data-driven
recruitment initiatives.

 Collaborate with the creation, improvement and maintenance of templates and tools for the
different processes managed by the team.
In the area of Talent Management
 Support the overall talent recruitment process, including preparing Vacancy Announcements
and Job Openings, assisting in the process of Substantive Assessments (e.g., written tests,
interviews) for various roles, and providing general recruitment support
 Assist in the outreach activities via different channels, including outreach events, social media
such as LinkedIn, etc;
 Review the website content of the existing internal and external Talent Management websites
and support creation and drafting of revised, up-to-date content;
 Engage in other assigned tasks with the HR team as needed.
Timeframe
The internship is for a period of minimum four to maximum six months. The exact period will be
determined based on the availability of the intern, the needs of the programme, and the intern’s ongoing university enrolment and performance.
Requirements
 Candidates must be enrolled in the last year of an undergraduate degree or in a Master’s
or PhD programme at a recognized university at the time of application and for the
duration of the internship.
 Candidates must be fluent in English (both oral and written). Knowledge of an additional
UN language is an asset.
 Studies in the fields of Business Administration, Data Sciences, Computer Science, Human
Resources, International Relations, Economics or related fields are preferred.
 Skills in data analysis with different tools and platforms (such as Qlik and PowerBI), or AI support
data analytics tools is highly desirable.
 Exposure to experience in Human Resources, especially in human resources data analytics
is desirable.
 Experience in an international environment is an asset.
 Excellent skills in Office applications (OfficeSuite), including the emerging ones.
 Availability to undertake a full-time six-month internship is desirable.
Computer requirements
For a remote internship, candidates will require a laptop or desktop PC (with Windows 10 or newer)
or Mac (with the latest MacOS update), as well as a reliable, high-speed internet connection. An
Office 365 license will be provided by the UNFCCC to enable the candidate to access official emails,
SharePoint, OneDrive and other office applications, such as Word and Excel.
Further computer requirements:
 An antivirus application which receives regular updates;

 Browsers must be a newer version with regular updates enabled;
 Regular Windows 10 updates should be enabled with Windows laptop or PC.
In addition, a mobile phone will be required to enable Multifactor Authentication (MFA) through
SMS or the Authenticator App.

Level of Education: Bachelor Degree

Work Hours: 8

Experience in Months: No requirements