Data Analyst (CAPP) LAC

ROLE PURPOSE: 

The Coding, PRIME and PMM programme forms a major part of Save the Children International’s (SCI) High Performing Organisation (HPO) programme. The project has completed design and has moved into develop and deploy the global CAPP solution across 56 country and regional offices in SCI and to other SC Member organisations by 2022 - and to transform existing project management, monitoring and financial data management processes into standardised systems and solutions.

This is a great opportunity for someone with one year of experience in data analysis and data entry to develop an understanding of charity sector project management processes and interventions as well as an insight into results frameworks, monitoring and evaluation data we use to track our impact as an organisation. This role provides insight into Save the Children Alliance’s project portfolio and operational environment and would be ideal for someone looking to understand project management tools and methods used in development/charity projects.

The CAPP Data Gathering Specialist will be one of two people coordinating with the Country Offices to collect and support the transposition of Project & Award Data in preparation for office adoption of new systems and processes. They will be completing reviews to ensure that content is primed for the PRIME system accurately reflecting what has been agreed by Member and Donor organisations. The candidate must be a Spanish speaker with good English proficiency.

EXPERIENCE AND SKILLS

Essential

• Highly proficient at MS Excel with exceptional attention to detail
• Excellent time management and prioritisation skills
• Proactive, pragmatic & analytical mindset
• Positive, collaborative, can-do attitude
• Appetite to understand more about Save the Children’s project and programme portfolio and monitoring and evaluation data.
• Spanish speaker with good English proficiency

Desirable:

• Experience or knowledge of project management methodologies.
• Experience within global, multicultural, matrix organisations.