Regional Data and Analytics Specialist

Описание

Job Description

PURPOSE

The Regional Data & Analytics Advisor leads the strategic development and implementation of child-focused data and analytics capabilities across the Regional Office. This role enables evidence-based decision-making, program adaptation, and accountability for impact. A key focus is operationalizing the Results for Children (RfC) framework by aligning data systems, processes, tools, and capacities to deliver measurable outcomes for the most vulnerable children.

The Advisor will process and synthesize Impact Measurement data (AIM/AIM Plus/ Grants impact measurements and Annual monitoring data) from Field Offices, applying advanced analytics to generate actionable insights. This role will establish and implement data governance mechanisms, build regional capacity, fosters data literacy, and promotes a culture of strategic learning and innovation.

DATA STRATEGY DEVELOPMENT

Lead the development of regionally contextualized data strategies aligned with Our Promise Phase 3 and Results for Children framework.

Work with the RO and FOs to identify research priorities and lead regional research implementation; collaborate with Regional Strategy Advisor to map data needs that support FO strategy implementation.

Translate global and regional data priorities into actionable regional plans.

Establish secure, accessible data repositories with governance protocols.

Serve as a strategic advisor on data and data analytics to Field Offices and regional leadership.

DATA COLLECTION AND ANALYSIS

Develop or adapt GC standardized tools and methodologies for data collection.

Integrate and analyse data from multiple sources, including AIM. AIM plus, donor surveys and reporting.

Support FOs with tools to ensure that grants designs/ baselines/ evaluations meet donor requirements and comply with industry quality standards.

Support Field offices in project proposals and technical/sectoral programmes development, by providing technical support on log frames design, M&E and research components.

Develop and implement robust research methodologies (quantitative, qualitative, mixed methods) to assess programme effectiveness, inform strategic decisions and advocacy priorities.

Ensure ethical standards and data protection protocols are embedded in all research activities.

Design dashboards and automated reports using tools like Power BI and Power Apps.

Ensure interoperability across technical sectors and systems.

DATA ANALYTICS CAPACITY BULDING AND TECHNICAL SUPPORT

Deliver training and mentorship on data literacy and advanced analytics.

Provide tailored technical support to Field Offices on RfC-aligned strategies.

Facilitate regional peer learning and knowledge exchange.

EVIDENCE USE - REPORTING AND INSIGHTS

Lead regional synthesis of AIM/ AIM plus and Monitoring data using descriptive, inferential, and predictive analytics where required.

Produce evidence products (e.g., learning briefs, synthesis reports) for internal and external use.

Collaborate with FO DME and sectorial teams to ensure data quality and consistency.

Support adaptive management and strategic learning through data insights.

Expand beyond AIM to include coordination with knowledge platforms and tools that promote evidence accessibility.

Support the development of learning products that synthesize evidence into digestible formats for multiple audiences (programming, advocacy, external relations).

Work with Regional and field sectorial and EE teams to translate research findings into strategic recommendations for programme adaptation and policy influence.

INTERNAL AND EXTERNAL COLLABORATION

Align Field Office efforts with global frameworks and innovations.

Engage with external partners to position World Vision as a leader in child-focused analytics.

Work closely with the Regional External Engagement Group (EEG) to develop dissemination plan of the research findings, identify and map the key stakeholders, support in development of strategic communication materials.

Closely partner with the Policy/Advocacy, Grant Acquisition & Impact teams to contribute to the evidence driven fundraising and policy change.

Represent MEER evidence at academic conferences and MEAL/evidence building/research webinars as prioritized by EEG.

KNOWLEDGE, SKILL AND EXPERIENCE

Required Education

A degree in one of the following fields: Data Science, Statistics, Economics, International Development or a closely related discipline.

Required Professional Experience

Minimum of 8 years working in data analytics, monitoring & evaluation (M&E), or results-based program design—preferably in humanitarian or development contexts.

Demonstrated ability to design, implement, and manage data platforms and visualization tools (e.g., Power BI, Power Apps) for strategic decision-making.

Experience applying child-focused metrics and frameworks such as Results for Children (RfC) or similar impact measurement models.

Demonstrated ability to apply mixed-methods research approaches (quantitative, qualitative, participatory) to generate actionable insights for programme improvement and policy change.

Proven ability to conduct descriptive, inferential, and predictive analytics to generate actionable insights and inform program adaptation.

Skilled in training and mentoring diverse teams in data literacy, analytics, and strategic learning—especially in multicultural and matrixed environments.

Track record of working across technical sectors and engaging with external partners (e.g., INGOs, UN agencies, donors) to drive innovation and influence.

Experience working in multicultural, matrixed organizations, with the ability to navigate complex stakeholder environments.

Proficiency in English Language.

Preferred Experience, Knowledge and/or other Qualifications

High proficiency in statistical analysis

High proficiency in various statistical software of data science (e.g., STATA, SPSS, R etc.)

High proficiency in DMEAL and Level 1 and level 2 indicators

Proficiency in programming languages, including Structured Query Language (SQL) and JavaScript would be strongly preferred.

Strong proficiency in analytical software and data visualization tools, such as Power BI, Power Apps, or other business intelligence platforms.

Experience facilitating the use of evidence in strategic decision-making at global, regional, or national levels.

Understanding of evidence flows and content governance across large, decentralized organizations.

Required travel and/or work environment accommodations

30% for international travel