Job Description:

The Statistical Modeler will design and implement advanced statistical models to analyse Annual Impact Measurement (AIM) data, extracting meaningful insights to inform decision-making at the Global level and Field Office level. Responsibilities include performing robust statistical modelling, interpreting results, and delivering actionable recommendations through reports and dashboards. The role also involves ensuring data accuracy, enhancing methodologies, and collaborating with stakeholders to support impactful, data-driven strategies.

MAIN RESPONSIBILITIES

Analyse large and complex datasets from Annual Impact Measurement (AIM) surveys at the global level and the field office level using advanced statistical modelling techniques (e.g., regression, GLM, causal inference, propensity score matching, etc.):

• Perform exploratory data analysis to understand the structure and content of AIM datasets.
• Clean and preprocess datasets to ensure accuracy, consistency, and readiness for analysis.
• Conduct hypothesis testing guided by sector leads and key stakeholders’ programmatic decisions.
• Apply advanced statistical models (e.g., regression, GLM, causal inference) to uncover meaningful patterns, relationships, and impact drivers in AIM data.
• Develop and implement predictive models (e.g., time series analysis) to forecast trends and support data-driven decision-making.
• Collaborate closely with data analysts from the AIM team to ensure insights are shared and address complex data challenges.

Create and maintain dashboards and reports to communicate findings to stakeholders:

• Design and implement interactive, user-friendly dashboards that present key results.
• Draft clear, concise, and visually appealing summary reports for diverse audiences, including internal teams and external stakeholders.
• Update dashboards and reports regularly to reflect the latest data and analysis results.
• Develop presentation materials that effectively convey findings and insights to both technical and non-technical audiences.

Interpret and translate statistical insights into actionable recommendations for non-technical audiences:

• Simplify complex findings into accessible narratives using clear language and visuals (e.g., charts, infographics, and diagrams).
• Facilitate workshops or training sessions to help stakeholders interpret data and apply findings to decision-making.
• Create guidance documents or user manuals for dashboards and reports to ensure continued usability by stakeholders.
• Work closely with Research departments to provide insights on prioritised business needs for analysis and reporting

REQUIRED KNOWLEDGE, QUALIFICATIONS, AND SKILLS

• Minimum 6-8 years of experience in statistical modelling with a track record of delivering actionable insights.
• Master’s or Ph.D. in Statistics, Data Science, Economics, or a related quantitative field.
• Proficiency in statistical programming languages such as R or Python for data analysis and modelling
• Expertise in SPSS for advanced statistical analysis and reporting
• Strong understanding of causal inference techniques
• Familiarity with data visualization tools, Power BI, for creating intuitive and interactive dashboards.
• Experience with survey design and data collection tools, KoboToolbox, to support high-quality data gathering and management.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to effectively present complex analyses and insights to both technical and non-technical audiences.
• Effective in written and verbal communication in English.
• Available for travel up to 15% of the time.

Preferred Knowledge and Qualifications

• Familiarity with machine learning techniques and their application in impact measurement or predictive modelling.
• Knowledge of survey methodology and best practices in data quality assurance.
• Understanding of impact frameworks and their alignment with statistical analysis.

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Job Purpose

The DMEAL Quality Assurance Director provides strategic leadership to enhance program quality across the entire program life cycle—from assessment and design to implementation and transition. The role ensures that Field Office DMEAL processes are harmonized with global standards and deliver measurable impact for children, communities, and donors. Core priorities include the development and standardization of tools aligned with Transformational Development, Sponsorship standards, and impact measurement frameworks including the NEW DMEAL framework and Our Impact Our Story. The Director also drives DMEAL continuous improvement initiatives, oversees the planning and optimization of DMEAL business processes, and manages senior technical staff responsible for quality assurance and the integration of DMEAL systems across the partnership.

Key Responsibilities

• Develop and maintain simplified, standardized DMEAL tools, processes, and guidance, including business process planning.
• Integrate sponsorship, technical sectors, and grant requirements into DMEAL quality standards.
• Monitor alignment of field-level DMEAL practice with global guidance and frameworks.
• Facilitate quality assurance mechanisms during program design and transition phases.
• Supervise and support quality assurance team including annual performance planning, mid-year and year-end reviews, professional development planning, recruitment & orientation.
• Provide capacity building and technical assistance to Field Offices for quality improvement.
• Collaborate in strategic initiatives (e.g., LEAP framework revision, sponsorship revitalization, Our Impact Our Story).

Required Knowledge & Qualifications

• Advanced degree in international development, public policy, program quality, monitoring and evaluation, or a related field.
• Minimum 10 years of experience in DMEAL or program quality and oversight in international development in field office or support office level. Proven expertise in developing quality standards, tools, and assurance mechanisms across large, multi-sector programs.
• Fluency in English required.
• Willingness to travel internationally up to 25%, including to fragile contexts.
• Standard office environment with flexibility for virtual engagement. Must be able to travel to field locations, which may involve physically demanding environments.

Preferred Knowledge and Qualifications

• Familiarity with World Vision’s DMEAL Framework and systems, Horizon, and IMPAQ.
• Experience integrating sponsorship programming, privately funded, and grant-funded projects into unified quality frameworks.
• Demonstrated understanding of Transformational Development and child well-being frameworks.
• Experience conducting or overseeing quality assurance reviews, evaluations, or program audits.
• Ability to translate complex quality standards into practical tools and guidance usable by Field Offices.
• Supervisory experience. Ability to direct and lead a geographically diverse team. Ability to identify and adapt leadership style to individual team member needs.
• Proficiency in French or Spanish.