Associate Professional - Statistics

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Associate Professional - Statistics

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Job title
Associate Professional - Statistics
Organisation
IRENA
City
Abu Dhabi
Country
  • United Arab Emirates
Region
Maghreb and Middle East
Type of job
temporary contract
Duration
12 months
Sector
Policy and Regulation
Language of description
English
Job description
Duties and Responsibilities

Under the guidance of the Director, KPFC and direct supervision of the Senior Programme Officer – Head of Statistics, the Associate Professional - Statistics will be responsible for the following duties:

  • Collects, checks and compiles renewable energy statistics from primary and secondary sources. Follows procedures and uses appropriate tools for data collection, processing, storage and dissemination. Ensures that data is of an appropriate quality to monitor international targets and goals.
  • Prepares data for dissemination via publications, webpages, country profiles, databases and other relevant mechanisms, and assists the promotion of IRENA’s statistics in the media and at events.
  • Organises and participates in seminars, working groups, expert meetings, and projects as a technical resource person, including training events in renewable energy statistics.
  • Performs research and analyses aspects of renewable energy statistics to fill gaps in datasets and add-value to the statistics collected by IRENA, in particular relating to off-grid energy technologies and data required to monitor Sustainable Development Goal 7.
  • Performs other duties as assigned.

Competencies

  • Professionalism: Knowledge of statistical principles and practices. Ability to conduct research and analysis with minimal guidance. Shows pride in work and in achievements; demonstrates professional competence in subject matter and pays attention to detail; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work.
  • Communication: Speaks and writes clearly and effectively; listens to others, correctly interprets messages from others and responds appropriately; asks questions to clarify and exhibits interest in having two-way communication; tailors the language, tone, style and format to match audience; demonstrates openness in sharing information and keeping people informed.
  • Teamwork: Works collaboratively with colleagues to achieve organizational goals; solicits input by genuinely valuing others’ ideas and expertise; is willing to learn from others; places team agenda before personal agenda; supports and acts in accordance with final group decision, even when such decisions may not entirely reflect own position; shares credit for team accomplishments and accepts joint responsibility for team shortcomings.
  • Accountability: Takes ownership of all responsibilities and honours commitments; delivers outputs for which one has responsibility within prescribed time, cost and quality standards; operates in compliance with organizational regulations and rules; supports subordinates, provides oversight and takes responsibility for delegated assignments; takes personal responsibility for his/her own shortcomings and those of the work unit, where applicable.

Eligibility

Applicants should be no more than 32 years of age at the time of submitting their applications.

Qualifications

Education: A first-level university degree or a Master’s degree (or equivalent) in statistics, mathematics, engineering or economics, or any other subject with a strong emphasis on quantitative analysis. A first-level university degree in other subjects may also be acceptable in combination with qualifying experience.

Experience: Experience in the collection, compilation, analysis and dissemination of statistics is required. A high level of proficiency in Excel is required. An understanding of Python, R, PowerBI, and tableau would be an advantage. Experience of managing and manipulating large datasets and good knowledge of methodologies for energy statistics is desirable.

Language: Excellent command of both written and spoken English is required. Knowledge of other UN official languages (especially Spanish or Russian) is an advantage.

Further details: https://eexh.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/AP0070
Application deadline
2026/10/29
URL

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