Data Analyst – Predictive Analytics

About the job 

To stay relevant and meet the needs of the people we serve, we are exploring new, innovative ways of using data to guide our work, planning and strategies. We are therefore working on integrating predictive analytics, big data and machine learning models in our operations. In partnership with IBM, we have developed a prototype for forecasting forced displacement. We are now exploring expanding this model to other countries, as well as developing new types of predictive analysis in different settings.

The Data Analyst will be supporting the development of innovative data models, maintaining the models and extracting the results. The role further entails enhancing the sharing and uptake of the results through data visualizations and various types of reporting.

Key responsibilities:

• Support and engage in all data-related work in the predictive analytics projects as well as work on the codes and other related technical tasks.
• Provide data extraction, processing, analysis and visualization expertise to the Division
• Work closely with the Senior Analyst and Global Data Science Lead in the Division on generating and visualizing evidence from predictive analytics models
• Provide advice and capacity building on data presentation and visualization for HQ departments and field offices, also within the MEAL network
• Support other data processing and analysis for the organization as needed and agreed with manager

 About you

To be successful in this role we expect you to have strong data analysis and coding skills and intellectual curiosity. All employees should master DRC’s core competencies: Communicating, Taking the lead, Collaborating, Striving for excellence and Demonstrating integrity.

Moreover, we also expect the following:

Required

• Experience – 1-3 years of relevant work experience
• Coding – knowledge and experience with R Program or Python
• Data Management – experience in collecting, analyzing and reporting data
• Tools – knowledge in developing data collection tools
• Visualization – conversant with developing dashboards in R Shiny, PowerBI or Tableau
• Collaboration – can work effectively with teams from diverse cultures
• Travel – Able and willing to travel for up to 30 days per year and operate in an at times physically demanding working environment.

Source: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1036&ProjectId=172583&DepartmentId=19154&MediaId=5