Data Analyst

Data Analyst

Genf Vollzeit 36000 - 60000 € / Jahr (geschätzt) Kein Home Office möglich
WHO - World Health Organization

Auf einen Blick

  • Aufgaben: Analyze health data and support evidence-based decision-making for global health initiatives.
  • Arbeitgeber: Join WHO, a leading organization dedicated to improving global health and well-being.
  • Mitarbeitervorteile: Enjoy competitive salary, 30 days annual leave, and flexible work arrangements.
  • Warum dieser Job: Make a real impact on global health while collaborating with diverse teams and experts.
  • Gewünschte Qualifikationen: Requires a degree in statistics or public health and 5 years of relevant experience.
  • Andere Informationen: Opportunity for international exposure and professional growth in a dynamic environment.

Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.

Job Description – Data Analyst (2409565)

Data Analyst – ( 2409565 )

Grade : P3

Contractual Arrangement : Fixed-term appointment

Contract Duration (Years, Months, Days) : 2 years

Job Posting

Closing Date

Jan 19, 2025, 10:59:00 PM

Primary Location

Organization

HQ/DNA Data and Analytics

Schedule

Full-time

IMPORTANT NOTICE: Please note that the deadline for receipt of applications indicated above reflects your personal device’s system settings.

OBJECTIVES OF THE PROGRAMME

The Division of Data, Analytics and Delivery for Impact (DDI) supports and strengthens the generation and collection, analysis, use and dissemination of data and evidence to promote better evidence-informed decision-making in member states. DDI’s goal is to build capacity in Member States to monitor the health of their populations and the impact of health interventions and to promote evidence-based policy decisions. The monitoring of WHO’s General Programme of Work 2019-2025 (GPW 13) Results Framework and, in particular, the Impact Measurement is also a key function. DDI brings a systematic, integrated, and sustained focus on the achievement of the triple billion targets. It will drive the achievement of the triple billion targets through delivery, problem-solving when delivery is off-track, system-wide learning, and capacity building. Delivery tracking includes pursuing targets and trajectories for each of the billion targets and monitoring active progress against those goals. The Division will facilitate routine reviews of indicators, called stocktakes, to robustly assess progress against trajectories and to determine the next steps when implementation is off-track. DDI will provide mechanisms for countries, regions, and programmes to be held accountable for health impacts and to discuss, problem-solve, and address implementation issues.

DESCRIPTION OF DUTIES

  • Facilitate communication among academic producers of health estimates and WHO programs, facilitating conversations on data, methods, and appropriate uses of estimates; this duty includes regular travel to relevant academic institutions.
  • Analyze data relevant to mortality and morbidity at the national and subnational levels using statistical and epidemiological methods.
  • Facilitates assessment and uptake of health estimates produced by academic groups, including support during country consultation processes.
  • Prepares regular briefing reports that compare data, methods, and results used by the UN and academic groups to calculate estimates.
  • Contribute to WHO guidance for researchers, programs, and countries on the analysis of mortality data, including treatment of deaths assigned to ill-defined codes.
  • Contributes to WHO guidance for researchers, programs, and countries on the identification and treatment of potentially biased health data.
  • Strengthens partnerships and collaborations with relevant scientists, institutions, and agencies, including other UN agencies, to achieve the objectives of the Department.
  • Provides advice and guidance to WHO programs on the standards and methods for the preparation of WHO statistics and contributes to the Departmental clearance of WHO official statistics.
  • Facilitate and manage the delivery of key data products, including production, member states consultation and work with relevant technical programs at WHO to present the outcome in the form of software, technical briefing, country profiles and dashboard.
  • Carries out other related duties as assigned.

REQUIRED QUALIFICATIONS

Education

Essential : A first university degree in statistics, epidemiology, demography or other disciplines with relevant public health or statistics content.
Desirable : An advanced university degree with a focus on quantitative analysis of population-level data relevant to public health monitoring and surveillance.

Experience

Essential : At least 5 years‘ experience in the analysis of epidemiological or population-level statistical data from multiple countries, inclusive of a) a minimum of 3 years experience in the estimation of mortality and cause of death data or in the burden of disease analyses; and b) a minimum of 3 years experience in the analysis of death registration data, health facility data, or health survey data. Demonstrated exposure at the international level.
Desirable : Experience in collaboration with multilateral agencies and academic groups. Understanding of global health issues and key stakeholders in global health information. Experience in the preparation and publication of articles and/or reports.

Skills

  • Demonstrated ability to use databases with large-scale, complex datasets.
  • Adept diplomacy and exemplary interpersonal skills required. Must be agile at forming respectful and rewarding relationships with people with different levels of experience and expertise from a variety of cultural, linguistic, and professional settings.
  • Strong Organizational skills and the ability to successfully manage multiple tasks and priorities to meet established and changing deadlines.
  • Deep interest in global health, population health, and/or ways in which quantitative research and data science can be used to create valuable global public goods.
  • Demonstrated Self-motivation, ability to absorb detailed information, flexibility, and ability to thrive in a fast-paced, energetic, highly creative, and collaborative environment.
  • Ability to learn new information quickly and to apply analytics skills to better understand complex information in a systematic way.
  • Strong quantitative aptitude.
  • Good working knowledge of various data sources and types pertains to the estimation of disease burden among populations.
  • Advanced programming skills in Stata and/or R and familiarity with the other.

WHO Competencies

  • Teamwork
  • Respecting and promoting individual and cultural differences
  • Communication
  • Producing results
  • Creating an empowering and motivating environment

Use of Language Skills

Essential : Expert knowledge of English.
Desirable : Intermediate knowledge of French.

REMUNERATION

WHO salaries for staff in the Professional category are calculated in US dollars. The remuneration for the above position comprises an annual base salary starting at USD 64,121 (subject to mandatory deductions for pension contributions and health insurance, as applicable), a variable post adjustment, which reflects the cost of living in a particular duty station, and currently amounts to USD 4804 per month for the duty station indicated above. Other benefits include 30 days of annual leave, allowances for dependent family members, home leave, and an education grant for dependent children.

ADDITIONAL INFORMATION

  • This vacancy notice may be used to fill other similar positions at the same grade level.
  • Only candidates under serious consideration will be contacted.
  • A written test and/or an asynchronous video assessment may be used as a form of screening.
  • In the event that your candidature is retained for an interview, you will be required to provide, in advance, a scanned copy of the degree(s)/diploma(s)/certificate(s) required for this position.
  • According to article 101, paragraph 3, of the Charter of the United Nations, the paramount consideration in the employment of the staff is the necessity of securing the highest standards of efficiency, competence, and integrity.
  • Any appointment/extension of appointment is subject to WHO Staff Regulations, Staff Rules and Manual.
  • The WHO is committed to creating a diverse and inclusive environment of mutual respect.
  • The WHO recruits and employs staff regardless of disability status, sex, gender identity, sexual orientation, language, race, marital status, religious, cultural, ethnic and socio-economic backgrounds, or any other personal characteristics.
  • The WHO is committed to achieving gender parity and geographical diversity in its staff.
  • Persons with disabilities can request reasonable accommodations to enable participation in the recruitment process.
  • An impeccable record for integrity and professional ethical standards is essential.
  • WHO has zero tolerance towards sexual exploitation and abuse (SEA), sexual harassment and other types of abusive conduct.
  • Mobility is a condition of international professional employment with WHO.
  • WHO also offers wide range of benefits to staff, including parental leave and attractive flexible work arrangements.
  • The statutory retirement age for staff appointments is 65 years.
  • Please note that WHO’s contracts are conditional on members of the workforce confirming that they are vaccinated as required by WHO before undertaking a WHO assignment.
  • WHO has a smoke-free environment and does not recruit smokers or users of any form of tobacco.
  • For information on WHO’s operations please visit:

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Data Analyst Arbeitgeber: WHO - World Health Organization

The World Health Organization (WHO) is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation in the field of global health. As a Data Analyst, you will benefit from a comprehensive package that includes competitive remuneration, generous annual leave, and opportunities for professional growth within a diverse and inclusive culture. Located at the WHO headquarters, you will engage with leading experts and contribute to impactful health initiatives, making a meaningful difference in the lives of populations worldwide.
WHO - World Health Organization

Kontaktperson:

WHO - World Health Organization HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Data Analyst

Tip Number 1

Familiarize yourself with the key objectives of the Division of Data, Analytics and Delivery for Impact (DDI). Understanding their focus on evidence-informed decision-making and capacity building in member states will help you align your experience and skills with their mission during discussions.

Tip Number 2

Highlight your experience in analyzing mortality and morbidity data. Be prepared to discuss specific projects where you've utilized statistical and epidemiological methods, as this is crucial for the role.

Tip Number 3

Showcase your ability to collaborate with diverse stakeholders, including academic institutions and international agencies. Providing examples of successful partnerships can demonstrate your interpersonal skills and adaptability.

Tip Number 4

Stay updated on global health issues and familiarize yourself with WHO's current initiatives. This knowledge will not only help you in interviews but also show your genuine interest in contributing to their goals.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Analyst

Statistical Analysis
Epidemiological Methods
Data Management
Quantitative Research
Data Visualization
Advanced Programming in Stata and R
Health Data Analysis
Interpersonal Skills
Organizational Skills
Communication Skills
Problem-Solving Skills
Collaboration with Multilateral Agencies
Knowledge of Global Health Issues
Ability to Work in a Fast-Paced Environment
Flexibility and Adaptability

Tipps für deine Bewerbung 🫡

Understand the Role: Make sure to thoroughly read the job description for the Data Analyst position. Understand the key responsibilities and required qualifications, and think about how your experience aligns with these.

Tailor Your CV: Customize your CV to highlight relevant experience in data analysis, epidemiology, and public health. Use specific examples that demonstrate your skills in statistical methods and your ability to work with large datasets.

Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in the position and how your background makes you a suitable candidate. Be sure to mention your experience with mortality data and your understanding of global health issues.

Highlight Relevant Skills: In your application, emphasize your programming skills in Stata and R, as well as your quantitative aptitude. Mention any experience you have with international collaborations or working with multilateral agencies.

Wie du dich auf ein Vorstellungsgespräch bei WHO - World Health Organization vorbereitest

Understand the Role and Responsibilities

Make sure you have a clear understanding of the job description and the specific duties involved. Familiarize yourself with the objectives of the Division of Data, Analytics and Delivery for Impact, as well as the key functions related to data analysis and health estimates.

Showcase Your Analytical Skills

Prepare to discuss your experience with statistical and epidemiological methods. Be ready to provide examples of how you've analyzed mortality and morbidity data in previous roles, and highlight any relevant projects that demonstrate your quantitative aptitude.

Demonstrate Effective Communication

Since the role involves facilitating communication among various stakeholders, practice articulating complex data findings in a clear and concise manner. Be prepared to discuss how you've successfully collaborated with academic institutions or other organizations in the past.

Highlight Your Global Health Knowledge

Express your understanding of global health issues and the importance of evidence-based policy decisions. Share insights on how your background aligns with WHO's mission and how you can contribute to achieving the triple billion targets.

Data Analyst
WHO - World Health Organization
WHO - World Health Organization
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