Associate Data Analyst(P2)

vor 1 Woche

Wien, Wien, Österreich International Atomic Energy Agency Vollzeit
Associate Data Analyst(P /

Organization:
MTIT-Business Technology Coordination Section

Primary Location:
Austria-Vienna-Vienna-IAEA Headquarters

Job Posting:
, 6:51:53 AM

Closing Date:
, 4:59:00 PM

Duration in Months: 36

Contract Type:
Fixed Term - Regular

Probation Period: 1 Year

Full Competitive Recruitment:
Yes

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.

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.

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
  • 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 sup

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