Data Analyst, Office of Internal Audit, P2 – Rome, Italy
.
WFP celebrates and embraces diversity. It is committed to the principle of equal employment opportunity for all its employees and encourages qualified candidates to apply irrespective of race, colour, national origin, ethnic or social background, genetic information, gender, gender identity and/or expression, sexual orientation, religion or belief, HIV status or disability.
Are you an experienced Data Analyst interested in further developing your professional experience while contributing to ending global hunger? Are you passionate about helping those in need? Would you like to join a global organization investing in its people?
If so, an exciting & fulfilling career awaits you! Join our diverse and passionate team that works on varied and international projects directly contributing to saving & changing millions of lives around the globe.
DEADLINE FOR APPLICATIONS
Applications must be submitted by Thursday, July 18, 2023 (11:59 PM CET)
WHO WE ARE
The United Nations World Food Programme (WFP), a highly prestigious, reputable & world’s largest humanitarian organization, operating in more than 120 countries and territories, bringing life-saving assistance in emergencies, building pathways to peace, stability and prosperity for people recovering from conflict, disasters and the impact of climate change and supporting sustainable and resilient livelihoods for a world with zero hunger.
At WFP, people are at the heart of everything we do and the vision of the future WFP workforce is one of diverse, committed, skilled, and high performing teams, selected on merit, operating in a healthy and inclusive work environment, living WFP's values (Integrity, Collaboration, Commitment, Humanity, and Inclusion) and working with partners to save and change the lives of those WFP serves.
To learn more about WFP, visit our website: UN World Food Programme (WFP) and follow us on social media to keep up with our latest news: YouTube, LinkedIn, Instagram, Facebook, Twitter.
WHY JOIN US?
- WFP is a 2020 Nobel Peace Prize Laureate
- WFP offers a highly inclusive, diverse, and multicultural working environment
- WFP invests in the personal & professional development of its employees through a range of training, accreditation, coaching, mentorship, and other programs as well as through internal mobility opportunities
- A career path in WFP provides an exciting opportunity to work across the various country, regional and global offices around the world, and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe
- We offer an attractive compensation package (please refer to the Terms and Conditions section)
THE ROLE AND ORGANIZATIONAL CONTEXT
The Office of Internal Audit (OIGA) is part of the Office of the Inspector General (OIG).
OIGA’s mission and role is to provide WFP stakeholders with independent and objective assurance and advisory services designed to address the main risks to WFP operations and help WFP achieve its goals through improvements to the effectiveness of its governance, risk management and controls.
Under the supervision of the Data Scientist Team Leader (“Team Leader”), the Data Analyst (“Analyst”) will be responsible for assisting in exploring, identifying, and acquiring data sources; leveraging data science methods to support OIGA assurance activities; designing and developing data science products; promoting data science solutions through client training and during development activities; designing and developing customized visualization and presentation products for OIGA; and participating in internal audits and investigations by assisting and performing tasks under the supervision of auditors and investigators.
KEY ACCOUNTABILITIES (not all-inclusive)
1. Assists in exploring, identifying, and acquiring data sources to determine their suitability for risk assessments, audits, and investigations. Enables broader use of data sources by applying quality methods to structure, clean, format, parse, and standardize for analytical use.
2. Establishes a close working relationship with members of the OIGA team and key clients to leverage data science methods to support their assurance activities with solutions that assist them in accomplishing their mandates.
3. Contributes to the design and develops data science products to reveal insights and provides an understanding or knowledge of the data that would otherwise not be detected without the application of advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and use of relevant algorithms and computational approaches.
4. Assists in promoting the use of data science solutions through client training and the development of products, tools, and processes to extend the capabilities of OIGA.
5. Contributes to the design and develops customized visualization and presentation products to reveal the findings of analysis for clients, suitable for all forms of production to include briefings, reports, documentation to OIGA, interactive interfaces, and publication of quality outputs.
6. Under the supervision of the Team Leader, liaise with technology stakeholders to access infrastructure, software and services needed to develop and deploy data science products for OIGA.
7. At the request of OIGA management and in coordination with the Data Scientist Team Leader, participates in internal audits and investigations, assisting and performing audit tasks under the supervision of auditors and investigators, producing findings and reports within the stipulated timeline and quality requirements.
8. Stay abreast of data science trends and innovation in order to propose improvements to internal processes and tools.
9. Guides, trains, and coordinates the activities of more junior staff in the Data Analytics team.
QUALIFICATIONS AND KEY REQUIREMENTS
EDUCATION:
You have:
- University degree (Master’s degree or equivalent) in data science, mathematics, statistics, engineering, or any related field that includes intensified data analysis in the curriculum.
EXPERIENCE:
You have:
- A minimum of 3 years of progressively responsible experience in data science, data analytics, applied mathematics, information management, or related area. Advanced degrees in applied data science, mathematics, or statistics may be counted in place of work experience.
- Experience working with data science tools currently used by OIGA, such as R, Python, Tableau, and SQL and non-SQL databases, is required. Knowledge of SAP, Javascript, SAS, or related programming languages would be considered an asset.
- Experience or knowledge of internal audit, risk management, and fraud investigations are desirable but not required. Experience working with and supervising diverse teams of interns, junior professionals, and consultants in data science, data engineering, or data analysts is also desirable.
LANGUAGE:
You have:
- Fluency (level C) in English language.
- Intermediate knowledge (level B) of a second official UN language: Arabic, Chinese, French, Russian, Spanish, and/or Portuguese (A WFP’s working language)
WFP LEADERSHIP FRAMEWORK
These are the common standards of behaviour that guide HOW we work together to accomplish our mission.
| Leads by Example with Integrity | Drives Results and Delivers on Commitments | Fosters Inclusive and Collaborative Teamwork | Applies Strategic Thinking | Builds and Maintains Sustainable Partnerships |
|
Lives the WFP values and shows humanity and integrity by role modelling care for others |
Delivers on commitments and adapts readily to change |
Is inclusive and collaborative, and contributes to a culture of learning and personal growth |
Demonstrates commitment to gather perspectives, analyse options and risks, and propose new ways of doing things |
Builds and nurtures external partnerships and collaborates with partners to deliver common objectives |
Different expectations of behaviour are defined depending on your grade and role/responsibilities within WFP.
TERMS AND CONDITIONS
Mobility is and continues to be a core contractual requirement in WFP. This position is however classified as “non-rotational” which means the incumbent shall not be subject to the regular reassignment process unless the position is reclassified as rotational.
WFP offers an attractive compensation and benefits package, including basic salary, post adjustment, relocation entitlement, travel, visa and shipment allowances, 30 days’ annual leave, home leave, an education grant for dependent children, a pension plan, and medical insurance. For more information, visit https://icsc.un.org/.
The selected candidate will be required to relocate to Rome, Italy to take up this assignment.
REMINDERS BEFORE YOU SUBMITT YOUR APPLICATION
- We strongly recommend that your profile is accurate, complete, and includes your employment records, academic qualifications, language skills and UN Grade (if applicable).
- Once your profile is completed, please apply, and submit your application.
- Please make sure you upload your professional CV in the English language
- Kindly note the only documents you will need to submit at this time are your CV and Cover Letter
- Additional documents such as passport, recommendation letters, academic certificates, etc. may potentially be requested at a future time
- Please contact us at [email protected] in case you face any challenges with submitting your application
- Only shortlisted candidates will be notified
.
WFP has a zero-tolerance approach to conduct such as fraud, sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination. All selected candidates will be expected to adhere to WFP’s standards of conduct and will therefore undergo rigorous background verification internally or through third parties. Selected candidates will also be required to provide additional information as part of the verification exercise. Misrepresentation of information provided during the recruitment process may lead to disqualification or termination of employment
WFP will not request payment at any stage of the recruitment process including at the offer stage. Any requests for payment should be refused and reported to local law enforcement authorities for appropriate action.
