Data Analysis - Energy Pillar

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Data Analysis - Energy Pillar

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Job title
Data Analysis - Energy Pillar

  • Switzerland
Europe and Central Asia
Type of job
temporary contract
6 months
Humanitarian Energy
Language of description
Job description
1. Support analysis on data and technical research on energy for displacement

a. Data analytical work to support producing figures and reports on energy access needs and access levels. Covering the household, enterprises, community facility and operational levels including both electricity and clean cooking needs. Both national level analysis and global aggregation will be necessarily to input into GPA outputs and advocacy materials. b. Explore financial needs research and analysis for energy modelling. c. Investigate options to create high-level estimates of the financial needs within the sector and the cost of providing energy to all displaced people. d. Support the collection of data and analysis for the visualisation of global energy access within displaced communities, supporting the development of the mapping of national and local displacement sites to produce a global picture and figures on levels of electricity and cooking access. e. Provide key facts and figures for a key GPA report on the state of the humanitarian energy sector in 2022. 2. Support partners engagement for data sharing and indicators they have collected a. Organise regular calls/meetings with relevant partners. b. Identify, demand, agree on datapoint and dataset that contribute to data alignment and fit the five information types (listed above). c. Gather and analyse data from partners. 3. Support update and development of the established BI tool (Beta version) with data shared by partners a. Extract, transfer, and load (ETL) dataset from partners into BI tool. b. Log the ETL process and tasks for proof of data traceability. c. Support upgrade BI five pages for dataset download and provide technical fixes for the BI Tool. d. Data analysis and format for receiving BI reports. e. Test and validate updated pages with partners. 4. Use the BI tool where appropriate to compile, centralize and analyse humanitarian energy data (displacement settings) a. Iterate, streamline, and automate, when possible, the access, extract, transform, validate, transfer and load process of humanitarian data into the BI tool.

b. Log the data management process for data traceability to produce a MIS report that records the activities, steps and describe the process.
Application deadline

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