Verification Data Analyst

About Us

The OPCW’s Verification Division works towards achieving chemical disarmament and preventing the re-emergence of chemical weapons through participation in the planning and oversight of inspections at both military and chemical industry facilities. The division also manages declarations while maintaining and strengthening the scientific capabilities of the Organisation, especially its laboratory component. The division also conducts Technical Assistance Visits at the request of States Parties.

The Division is responsible for the day-to-day operation of OPCW’s verification regime. It is a key element of the Secretariat, using trustworthy and science-based information to implement all aspects of the Convention including decisions from the Policy Making Organs.

General Information

• Contract Type
  Fixed-term Professional
• Grade
  P3
• 
  Total Estimated monthly remuneration depending on post adjustment and family status: USD
  7834
• Closing Date
  22/02/2025

Responsibilities

Job Summary

As part of the Declarations Branch, the Data Analytics, Reporting and Quality Control Section (DARQ) section is responsible for enhancing the Branch's analytical capabilities and overseeing verification-related information and support activities.

DARQ manages key components of the Verification Information System (VIS), the primary technology platform supporting the Secretariat's verification activities. This includes facilitating various business processes, data collection, management, analysis, and secure communication with States Parties.

Our Data Analytics, Reporting and Quality Control ( DARQ) section team is looking for a dedicated and talented professional with knowledge and experience in the management of quantitative information including experience in data analysis and the use of information management systems.

As Verification Data Analyst you will assist Head of Section in analysis and planning within the context of VIS Programme. You will be able to design, develop, test and maintain models, procedures and related tools to support complex data analysis activities.  The role involves support the Data Quality Framework project, facilitate the provision and utilisation of business intelligence solutions, develop, update and implement relevant SOPs.

Main Responsibilities

Under the supervision of the Head, Data Analytics, Reporting and Quality Control Section the incumbent performs the following duties:

1. Provide project support for VIS Programme modules:

· Assist Head of Section in analysis and planning within the context of VIS Programme;

· Perform data analysis tasks related to data for VER activities; This includes analysis of production data and related stored procedures as well as recommendations related to the optimization of the same.

· Design, develop, test and maintain models, procedures and related tools to support complex data analysis activities;

· Perform/coordinate quality control activities with regard to Verification data and VIS modules;

· Produce necessary documentation for the VIS Programme including user manuals and training material;

· Provide support to users in VER on issues related to VIS modules

· Support ongoing project work by contributing to the design and solutioning of business functionality and related data models.

· Collaborate with other VER branches for the implementation of policy matters within the VIS.

2. Perform as Process Manager for the Plant Site Selection process:

· Coordinate the Plant Site Selection process and ensure that the selection session for each respective Verification regime is conducted in accordance with the Verification Annex of the Chemical Weapons Convention;

· Provide assistance in making proposals in methodology, rates and procedures relevant to the selection process;

· Undertake relevant data quality activities and prepare the execution of the selection sessions;

· Develop and maintain all relevant documentation, guidelines and SOPs;

· Communicate selection results and prepare reports on the performance of the selection methodology.

3. Support the Data Quality Framework project under the supervision of the Head of Section:

· Ensure the implementation and improvement of data quality procedures across VER business processes by supporting units with checks and controls.

4. Facilitate the provision and utilisation of business intelligence solutions for VER data analysis and reporting:

· Coordinate the reporting activities using Business Intelligence tools as specified by the relevant SOP and under the supervision of the Head of Section;

· Provide adequate support the organisational units within DEB/VER in writing relevant reports;

· Develop reasonably complex reports and coordinate the publishing.

5. Support other project activities by taking the lead in the completion of tasks assigned by the Head of Section, as necessary.

 6. Provide accurate, complete and timely inputs to DEB reports on VIS, EDIS and other VER-IT related issues to authorised recipients including Director General and Policy Making Organs.

7. Develop, update and implement relevant SOPs under the guidance of the Head of Section.

8. Ensure that all activities performed are fully in accordance with the confidentiality regime of the Organisation.

9. Other duties.

Qualifications and Experience

Education

Education (Qualifications):

Essential: 

Advanced university degree which includes a major in information technology or mathematics or statistics or data science. A first level university degree in combination with qualifying experience (minimum 7 years) may be accepted in lieu of the advanced university degree;

Desirable:

Advanced university degree which includes a major in statistics or data science. A certification in the field of Data Science would be an asset.

Knowledge and Experience

Essential: 

At least 5 years of experience in the management of quantitative information including experience in data analysis and the use of information management systems; sound knowledge of statistics, including data analysis techniques and probability theory, and experience in applying this knowledge in practice on internationally-compiled data and information; experience in the use of databases, data warehouses, statistical tools, reporting and visualisation applications such as Qlik, Cognos ReportNet, PowerBI or Tableau, particularly in a technical context;

Desirable: 

Experience in data science including the collection and analysis of quantitative datasets;

Experience in business analysis and project management;

Familiarity with software testing techniques and methods, in particular for information systems;

Experience with support of web based and client server applications based on Microsoft technologies, including installation and configuration of these applications.

Experience with data modelling techniques, including analysis and optimization of existing data and related stored procedures.

Experience in information handling and the production of analytical products in the chemical industry;

Experience working with sensitive information in a confidential environment.

Advantage:

Previous experience with programming in a data management / processing context;

Experience in data modelling, data visualisation tools and techniques.

Skills and Competencies

To succeed in this role you will need the following skills and competencies:

· Ability to analyse problems and react quickly in dynamic situations with a minimum supervision;

· Excellent organisational skills;

· Excellent communication skills, both oral and written, in particular for written documents such as business requirements, standard operating procedures and project documents;

· Ability to understand user needs with a strong customer focus;

· Tact, discretion, and the ability to work harmoniously in a multicultural environment;

· Flexibility and ability to work under pressure.

Languages

Fluency in English is essential and a good working knowledge of one of the other official languages (Arabic, Chinese, French, Russian, and Spanish) is desirable.

Additional Information

This fixed-term appointment is for the duration of two years with a six-month probationary period, and is subject to the OPCW Staff Regulations and Interim Staff Rules.

The OPCW is a non-career organisation with limited staff tenure. The total length of service for Professional staff shall not exceed 7 years.

The mandatory age of separation at the OPCW is 65 years.

The Director-General retains the discretion to not make any appointment to this vacancy, to make an appointment at a lower grade, or to make an appointment with a modified job description. Several vacancies may be filled.

Only fully completed applications submitted before the closing date and through OPCW CandidateSpace will be considered. Only applicants under serious consideration for a post will be contacted.

According to article 8 paragraph 44 of the Chemical Weapons Convention the paramount consideration in the employment of the staff is the necessity of securing the highest standards of efficiency, competence, and integrity. Due regard will be paid to the importance of recruiting the staff on as wide a geographical basis as possible.

OPCW is committed to maintaining a diverse and inclusive environment of mutual respect. OPCW recruits and employs staff regardless of disability status, sex, gender identity, sexual orientation, language, race, marital status, religious, ethnic, cultural and socio-economic backgrounds, or any other personal characteristics.

OPCW General Terms and Conditions

Important notice for applicants who are currently insured under the Dutch Social Security system

Although headquartered in the Netherlands, the OPCW is not a regular Dutch employer but a public international organisation with its own special status. Please be advised that if you are currently insured under the Dutch Social Security system, you will be excluded from this system as a staff member of the OPCW. You will consequently be insured under the organisation’s system. The above also applies to your dependents unless they are employed by a regular Dutch employer, they are self-employed in the Netherlands, or are receiving Dutch social security payments.

Please refer to the website of the Ministry of Social Affairs and Employment for more information about the possible consequences for you and your dependents, such as exclusion from ‘AWBZ’ and ‘Zorgverzekeringswet’ coverage: ‘Werken bij een internationale organisatie’.