Data Analyst – Predictive Analytics

Support data models for predictive analytics

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DRC - Danish Refugee Council

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Application deadline 1 year ago: Tuesday 3 Dec 2024 at 22:59 UTC

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Overview

Support data models for predictive analytics

You have:

  • 1-3 years of relevant work experience
  • Knowledge and experience with R Program or Python
  • Experience in collecting, analyzing and reporting data
  • Knowledge in developing data collection tools
  • Conversant with developing dashboards in R Shiny, PowerBI or Tableau
  • Can work effectively with teams from diverse cultures
  • Able and willing to travel for up to 30 days per year
  • Past experience in working in developing/fragile countries and settings
  • Past experience working with displacement and/or in humanitarian organizations
  • Experience in building predictive Machine Learning (ML) Models

Contract

This is a DRC - National contract. More about DRC - National contracts.

Are you keen on working with and for refugees and displacement-affected communities? Do you believe that data, when used in a responsible and appropriate manner, can make a difference for vulnerable groups? Then we have an exciting job opportunity.

Who are we?

Danish Refugee Council (DRC) is an international humanitarian organization with operations in 40 countries dedicated to assisting, protecting and finding solutions for refugees, internally displaced and other conflict-affected communities.

The Division for Effectiveness, Knowledge and Learning is all about evidence; its analysis, documentation, and sharing. We host global advisors for programme results and monitoring, for data collection and data analysis, for accountability to people, aid transparency, and evaluation. We provide technical support to DRC’s operations and build capacity of staff in these areas. Through our work we contribute to DRC’s programmes to be effective, and we collect and share evidence of DRC’s effectiveness, building knowledge.

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.

Desirable

  • Context – past experience in working in developing/fragile countries and settings
  • Subject – past experience working with displacement and/or in humanitarian organizations
  • Machine Learning – experience in building predictive Machine Learning (ML) Models

We offer

Contract length: 3 years

Work place: Borgergade 10, 1300 Copenhagen, Denmark

Start date: January 1, 2025 or as soon as possible thereafter

The position is temporary as it is currently funded for three years through a specific project, but the aim is to make it permanent if the funding is secured.

Salary and conditions will be in accordance with the agreement between DRC and AC. The position is at “fuldmægtig” level. This is a national position for which local terms and conditions apply.

Application process

All applicants must upload a cover letter, an updated CV in English as well as a degree certificate, letter of enrolment or residence permit.

Closing date for applications: December 3, 2024. We expect to conduct interviews mid-December.

Further information

For general questions regarding the vacancy please contact alexander.kjaerum@drc.ngo. For specific questions related to the data analysis and models context data science lead bo.schwartz.madsen@drc.ngo.

For further information about the Danish Refugee Council, please consult our website drc.ngo.

Potential interview questions

Can you describe a project where you applied data analysis to solve a problem? The interviewer wants to understand your practical experience with data analysis. Outline the project objectives, methods you used, and the outcomes achieved.
How do you ensure the accuracy of the data you work with? This question assesses your attention to detail and data integrity practices. Pro members can see the explanation.
Describe a situation where you had to collaborate with diverse teams. What was your role? Pro members can see the explanation. Pro members can see the explanation.
What data visualization tools are you most comfortable with and why? Pro members can see the explanation. Pro members can see the explanation.
How would you approach developing a predictive model for displacement data? Pro members can see the explanation. Pro members can see the explanation.
Added 1 year ago - Updated 1 year ago - Source: drc.ngo