Associate Data Analyst(P2), IAEA, Vienna, Austria
JOB DETAIL
IMPORTANT NOTICE REGARDING APPLICATION DEADLINE: Please note that the closing date for submission of applications is indicated in local time as per the time zone of the applicant’s location.
Organizational Setting
The Division of Information Technology provides support to the IAEA in the field of information and communication technology (ICT), including information systems for technical programmes and management. It is responsible for planning, developing and implementing an ICT strategy, for setting and enforcing common ICT standards throughout the Secretariat and for managing central ICT services. The IAEA’s ICT infrastructure comprises hardware and software platforms, and cloud and externally-hosted services. The Division has implemented an IT service management model based on ITIL (IT Infrastructure Library) and Prince2 (Projects in a Controlled Environment) best practices.The Business Technology Coordination Section (BTCS) manages the implementation of the IAEA Business Technology Strategic Plan, coordinates the development of Agency ICT policies, standards and guidelines, and facilitates ICT governance across the Secretariat. BTCS also provides project and product management and information architecture services to the Division of Information Technology.
Main Purpose
Under the supervision of the Chief Data Officer (CDO), the Associate Data Analyst extracts valuable insights from large and complex datasets using statistical and computational techniques. The Associate Data Analyst also supports the CDO in improving the Agency’s decision-making processes by providing actionable, data-driven recommendations derived from thorough analyses.
Role
The Associate Data Analyst plays several roles in the Section:
*Data analyst, extracting valuable insights from large and complex datasets using statistical and computational techniques.
*Solution architect, liaising with internal clients to understand their needs, define challenges, and suggest appropriate solutions.
*Data scientist, modelling complex business problems through statistical, algorithmic, mining, and visualization techniques
*Data architect, supporting the design and management of the organization’s data architecture
*Project manager, contributing to the initiation, planning, execution, and control of agreed work.
*Technical specialist, taking part in other activities as required.
Functions / Key Results Expected
Under the supervision of the Chief Data Officer (CDO), align data strategies with organizational objectives, ensuring a cohesive approach to data-driven decision-making. Utilize statistical and computational techniques to extract valuable insights from large and complex datasets.
Work closely with data engineers/architects to define data requirements, ensuring comprehensive accessibility for analysis. Apply advanced analytical methods, machine learning, and deep learning algorithms to identify intricate patterns and trends within the data. Perform meticulous data cleaning, conduct statistical analysis, and create visualizations to effectively communicate complex findings to diverse stakeholders.
Support decision-making processes by providing actionable, data-driven recommendations derived from thorough analyses Act as an explorer, conducting exploratory data analysis, cleaning, and transformation operations to uncover nuanced trends and patterns Develop statistical predictive models using data mining techniques, including linear and logistic regression, neural networks, decision trees, and experimental design.
Design and develop big data applications for implementing predictive analytics and machine learning algorithms, driving valuable insights from available data. Utilize statistical programming languages (e.g., R or Python) and database querying languages proficiently.
Interpret and consolidate large amounts of information into actionable recommendations, assist CDO in effectively communicating results and implications to business stakeholders.
Competencies and Expertise
Core Competencies(Competency Framework)
| Name | Definition |
|---|---|
| Communication | Communicates orally and in writing in a clear, concise and impartial manner. Takes time to listen to and understand the perspectives of others and proposes solutions. |
| Achieving Results | Takes initiative in defining realistic outputs and clarifying roles, responsibilities and expected results in the context of the Department/Division’s programme. Evaluates his/her results realistically, drawing conclusions from lessons learned. |
| Teamwork | Actively contributes to achieving team results. Supports team decisions. |
| Planning and Organizing | Plans and organizes his/her own work in support of achieving the team or Section’s priorities. Takes into account potential changes and proposes contingency plans. |
Functional Competencies
| Name | Definition |
|---|---|
| Client orientation | Establishes effective relationships with clients to understand and meet or exceed their needs. Finds ways to ensure client satisfaction. |
| Commitment to continuous process improvement | Identifies opportunities for process, system and structural improvement as well as improving current practices, increasing effectiveness and achieving efficiency gains. Actively supports the application of sound quality management standards and process improvement. |
| Technical/scientific credibility | Acquires and applies new skills to remain up to date in his/her area of expertise. Reliably applies knowledge of basic technical/scientific methods and concepts. |
Required Expertise
| Function | Name | Expertise Description |
|---|---|---|
| Information Technology | Data Analysis | Extensive experience in IT Data/Systems Analysis. |
| Information Technology | Project Management | Experience in supporting and managing IT Projects using the best practice methodology such as Prince2 and/or PMP. |
Asset Expertise
| Function | Name | Expertise Description |
|---|---|---|
| Information Technology | Data Architecture | Good understanding of Data Architectural concepts. |
| Information Technology | Information Security and Risk Management | Sound knowledge of Information Security and Risk Management. |
Qualifications, Experience and Language skills
- University degree in Computer Science, Statistics, Engineering or other relevant field.
- Accredited or Internationally recognized certification in Project Management such as PMP or Prince2 would be an asset.
- Minimum of two years of experience in IT, statistics, data management, analytics or a related field.
- Experience and ability to develop concepts, evaluate data and work towards practical solutions.
- Ability to work productively and maintain effective relationships in multidisciplinary and multicultural teams.
- Ability to establish good working relationships with colleagues with diverse cultural and professional backgrounds.
- Strong drafting skills with a demonstrated ability to produce clear and concise written documents in English.
- Excellent oral and written command of English. Knowledge of other official IAEA languages (Arabic, Chinese, French, Russian and Spanish) is an asset.
Remuneration
The IAEA offers an attractive remuneration package including a tax-free annual net base salary starting at US $50377 (subject to mandatory deductions for pension contributions and health insurance), a variable post adjustment which currently amounts to US $ 30125*, dependency benefits, rental subsidy, education grant, relocation and repatriation expenses; Other benefits include 6 weeks’ annual leave, home leave travel, pension plan and health insurance. More information on the conditions of employment can be found at: https://www.iaea.org/about/employment/professional-staff/conditions
General Information
- The IAEA’s paramount consideration in the recruitment of staff member is to secure employees of the highest standards of efficiency, technical competence and integrity.
- Staff Members shall be selected without any unfair treatment or arbitrary distinction based on a person’s race, sex, gender, sexual orientation, gender identity, gender expression, religion, nationality, ethnic origin, disability, age, language, social origin or other similar shared characteristic or trait.
- The IAEA is committed to gender equality and to promoting a diverse workforce. Applications from qualified women and candidates from developing countries are strongly encouraged.
- Applicants should be aware that IAEA staff members are international civil servants and may not accept instructions from any other authority. The IAEA is committed to applying the highest ethical standards in carrying out its mandate. As part of the United Nations common system, the IAEA subscribes to the following core ethical standards (or values): Integrity, Professionalism and Respect for diversity.
- The IAEA has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and the IAEA, including sexual harassment, abuse of authority and discrimination.
Evaluation process
- The evaluation of applicants will be conducted on the basis of the information submitted in the application according to the selection criteria stated in the vacancy announcement. Applicants must provide complete and accurate information. Evaluation of qualified candidates may include an assessment exercise, which may be followed by a competency-based interview.
- Candidates under serious consideration for selection may be subject to reference and background checks as part of the recruitment process.
Appointment information
- Appointment is subject to a satisfactory medical report.
- Staff members may be assigned to any location.
- Candidates appointed to posts in the Professional and higher categories are subject to IAEA rotation policy and their maximum tour of service shall normally be seven years.
- The IAEA retains the discretion not to make any appointment to this vacancy, to make an appointment at a lower grade or with a different contract type, or to make an appointment with a modified job description or for shorter duration than indicated above.
