Verification Data Analyst

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Description

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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:

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.

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.

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.

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.
• Support other project activities by taking the lead in the completion of tasks assigned by the Head of Section, as necessary
• 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.
• Develop, update and implement relevant SOPs under the guidance of the Head of Section.
• Ensure that all activities performed are fully in accordance with the confidentiality regime of the Organisation.
• Other duties.

Qualifications and Experience:

Education:

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.

Source: https://opcw-career.talent-soft.com/job/job-verification-data-analyst-p-3-_467.aspx

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