Data Analytics and Business Intelligence Specialist

The consultant will support the development, management and continuous improvement of the IMEO Methane Data Platform, with a particular focus on data analytics, business intelligence, performance management and the translation of complex data into actionable insights.

Remote

6 months

The United Nations Environment Programme (UNEP) is the leading global environmental authority setting the global environmental agenda and advocating for environmental action across the UN system. UNEP’s International Methane Emissions Observatory (IMEO) is a data-driven initiative accelerating reductions in methane emissions, a major contributor to climate change. IMEO provides open, reliable and actionable data to support emissions reductions aligned with the Paris Agreement. To do this, IMEO is harnessing a methane data revolution under way thanks to rapidly advancing technology and momentum for methane action. IMEO collects, integrates, and reconciles data from methane-detecting satellites, scientific measurement studies, rigorous industry reporting through the Oil and Gas Methane Partnership 2.0 (OGMP 2.0), and national emissions inventories. These initiatives are game-changers for climate action – and as a core implementing partner of the Global Methane Pledge, IMEO is shaping the future of methane mitigation. The consultant will provide strategic and technical support to the Head of IMEO and relevant IMEO teams in strengthening the use of data for decision-making, developing analytical and visualization products, and ensuring that the platform responds effectively to organizational and stakeholder needs. The consultant will report to Science Studies Programme Manager

Required: Masters or Equivalent in computer science, data science, data analytics, information systems, statistics, business intelligence or a related field. A first-level university degree in combination with additional qualifying experience may be accepted in lieu of the advanced degree. Additional qualifications or demonstrated training in business intelligence, analytics, digital transformation or decision-support methodologies are desirable.

• A minimum of ten (10) years of progressively responsible professional experience in business intelligence, data analytics, digital transformation, data-driven decision support or related areas is required
• Demonstrated experience developing or managing analytics, reporting, dashboards or business intelligence solutions for organizations is required.
• Experience translating organizational or management requirements into analytical methodologies, KPIs, dashboards, planning tools or digital products is required.
• Demonstrated experience working across technical and non-technical functions to deliver data-driven solutions is required.
• Experience communicating analytical findings and complex information to senior management and non-technical audiences is required.
• Experience supporting user adoption, training or capability building around analytics and digital tools is required.
• Experience managing significant business intelligence or analytics transformation programmes is desirable.
• Experience with data visualization, analytical modelling and data integration is desirable.
• Experience advising senior leadership on data-driven decision-making and organizational transformation is desirable.
• Experience working across different countries, markets or international organizations is desirable.
• Experience designing and facilitating training or knowledge-transfer activities is desirable.
• Experience working with environmental, sustainability, climate or open-data applications is desirable.

Fluency in oral and written English is required. English is the working language of UNEP's IMEO. Knowledge of additional languages is an asset.

Not available.

THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.