REACH Data Officer

30 مارس، 2023

0 0 3 دقائق

Job Purpose

The Data Officer will support Camps and Displacement unit within REACH with all data related aspects of the unit’s research cycles, including research design (e.g. sampling), data cleaning and data analysis. He or she will also support the unit in creation of relevant information products, including dashboards or other interactive ways or presenting data.

Objectives

Objective 1: supporting research design and data collection, and data quality assurance

The Data Officer is responsible for supporting research design and data collection activities in the research unit with technical expertise, monitoring and quality control. They will develop KoBo tools for data collection, R scripts for data cleaning and processing, and any other technical solutions as needed. The Data Officer will work with the Assessment Officers within the unit to ensure that all data collection activities they carry out are in line with technical requirements set by IMPACT Initiatives and REACH Data Team. Additionally, the Data Officer will pro-actively contribute to the development of new technical standards and tools to support data collection.

Objective 2: data analysis and innovation

The Data Officer will support the research unit with analysis of primary and secondary datasets. They will perform descriptive analyses, and ideally – depending on their skills – hypothesis testing, correlation, and regression analyses. The Data Office will work pro-actively to design innovative solutions and detailed analysis plans to fill information gaps in the humanitarian response. Furthermore, they will develop R scripts to automate data analysis processes; and explore opportunities to use alternative data sources (e.g., web scraping, social media, etc.).

Objective 3: developing information products and dashboards

The Data Officer will collaborate with Assessment Officers within the unit to create information products and dashboards for public use with the collected data. The Data Officer will work pro-actively to design new ways of displaying information, based on the needs of humanitarian actors. The Data Officer is enthusiastic about the potential for data to shape humanitarian action, and about working with others to make this a reality.

Duties and Responsibilities

The REACH Data Officer is responsible for completing the following tasks:

· Research design support: collaborate with Assessment Officers to ensure that research design follows best practices for data quality and analysis.

· Data collection support: providing technical support to data collection and processing.

· Data quality assurance: supporting Assessment Officers with data checking and validation to ensure that the data collected in the unit is of the best quality it can be.

· Data analysis support: supporting Assessment Officers with data analysis and ensuring that they accurately represent data in their work.

· Technical tool development: in collaboration with the Data Team, developing new technical tools for use by the unit and the REACH team more broadly.

· Creation of information products: with the rest of the unit, creating factsheets, dashboards, and other information products to share with the wider humanitarian community.

· Creative problem solving: critically reviewing existing data processes within the unit and making improvements or developing new processes where relevant.

Key Performance Indicators:

Example, the key performance indicator (KPI) is a measurable value that demonstrates how effectively a company is achieving key business objectives. Organizations use KPIs to evaluate their success at reaching targets

Number of cleaned datasets;
Number of analytical products delivered;
Level of independence (Number of critical interventions needed by the Data Specialist, lower the better);

*ACTED's proposed monthly salary: 1059 JOD's

Skills

QUALIFICATIONS

Requirements

· Relevant degree in Computer or Data Science, Statistics, Economics, or related

· Good computer programming knowledge in Python or R;

· 1+ years of professional experience analysing complex data with R or Python (if only Python skills, willingness and ability to learn R rapidly)

· Good organisational and prioritisation skills, and ability to work in a fast-paced environment

· Fluent speaking and writing English and Arabic language

Desirable

· Master’s degree in Computer or Data Science, Statistics, Economics, or related

· Strong statistical and analytical skills including correlation and regression analysis