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Data Officer (Фахівець/-чиня з даних)

ACTED
Місто:
Одеса
Зарплата:
$1 570 - $1 650 на місяць
Джерело:
jobs.dou.ua
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ACTED — французька неурядова організація, заснована в 1993 році, яка підтримує вразливі верстви населення, які постраждали від гуманітарних криз у всьому світі. ACTED надає постійну підтримку вразливим громадам шляхом забезпечення стійкості післякризових заходів та готовності до довгострокових викликів, що стоять перед населенням, з метою подолання циклу бідності, сприяння розвитку та зменшення вразливості до катастроф. Наші співробітники завжди готові реагуванню в надзвичайні ситуації, підтримці та відновленню сталого розвитку через 450 проектів у 43 країнах.

ASSIGNMENT

About IMPACT Initiatives

IMPACT Initiatives (IMPACT) is a humanitarian NGO, based in Geneva, Switzerland, with the aim to improve the impact of humanitarian, stabilization and development action through data, partnerships and capacity building programs. The organization manages several initiatives, which includes i) the REACH Initiative aimed at facilitating the development of information products that enhance the humanitarian community’s decision making and planning capacity for emergency, reconstruction and development contexts, ii) the PANDA Initiative aimed at directly supporting key aid actors in improving the effectiveness, efficiency, and efficacy of their programs, and iii) the AGORA Initiative aimed at promoting localized and multi-sectoral aid action in support of the recovery and stabilization of crisis- affected communities.

With over 400 staff members, including assessment, data analysis, GIS experts and field professionals, IMPACT currently has projects in over 25 countries across the Middle East, Africa, Asia, Europe and Latin America. IMPACT is a sister organization of ACTED, a French NGO with headquarters in Paris. The two organizations have a strong complementarity formalized in a global partnership, enabling IMPACT to benefit from ACTED’s operational support in its fields of intervention.

Context

IMPACT Initiatives is seeking a Data Officer to join the Critical Infrastructure and Services Team in Ukraine. The team’s work focuses on understanding how the war is affecting people’s access to critical infrastructure and essential services, such as electricity, heating, water, healthcare, transport, and communications. A key part of this includes conducting assessments of infrastructure damage and service disruptions, as well as analysing how these disruptions impact households and communities, particularly in frontline and conflict-affected areas.

The role will primarily support IMPACT’s research activities in Ukraine, while also providing data support across the team’s wider research portfolio and, where relevant, to the broader Ukraine mission in coordination with the Cross-Cutting Data Team.

The Data Officer will support data processing, cleaning, analysis, quality assurance and visualisation across research cycles, working primarily with R/Python, Power BI, Excel and KoboToolbox. The role will involve preparing and analysing assessment datasets, maintaining and adapting analytical scripts and workflows, supporting data collection tool development in KoboToolbox, producing visual and dashboard outputs, and ensuring that data products are accurate, timely and suitable for humanitarian analysis and decision-making.

Working closely with assessment, GIS and data colleagues, the Data Officer will contribute to the delivery of high-quality research on infrastructure damage, service disruptions, and access to essential services, helping humanitarian actors and decision-makers understand where needs are most severe and how they are evolving over time. The position will also work closely with IMPACT Ukraine’s Cross-Cutting Data Team to ensure consistency with mission-wide data standards and to support selected data needs beyond the immediate team when required.

Candidates should have strong quantitative and analytical skills, experience working with structured datasets, and practical knowledge of R and/or Python, Excel and data visualisatio

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