Advisor, Data Analytics – Compliance, Accountability & Due Diligence at World Vision

KEY RESPONSIBILITES

Act as an SME, overseeing the data strategy, architecture and quality for analytics and insights

• Lead the design and ongoing improvement of the data architecture for the unit, integrating information from programme accountability, compliance monitoring, due diligence, incident management and external commitments.
• Integrate datasets from the three core functions (compliance, accountability and due diligence) into a coherent data model that supports analysis and reporting.
• Maintain and continuously improve core units dashboards, ensuring data is accurate, timely and consistent with agreed standards and definitions.
• Establish and coordinate data quality checks, documentation and processes in collaboration with relevant technical teams and data owners

Act as a champion for Analytics, Dashboards and Insight on Accountability to Children & Communities:

• Design and maintain dashboards and analytical products that track how Field Offices and Regions are implementing PAF commitments (information sharing, community feedback & complaints, participation, and staff behaviour).
• Analyse accountability data (e.g. information sharing, feedback and complaints, community participation, staff behaviour) to identify trends, gaps and areas of good practice.
• Translate analytics into clear insights, visualisations and recommendations tailored for senior leaders, Regions and Field Offices.
• Work with relevant teams to ensure accountability analytics are aligned with broader unit and organisational priorities.

Track Compliance & Policy Analytics

• Run and enhance dashboards and analytics for compliance-related data, including compliance framework and other policy and standards metrics.
• Consolidate and analyse data from compliance monitoring, reviews, audits and incident reporting to surface trends, patterns and risks.
• Provide regular and ad hoc analytical briefs and visualisations to support prioritisation of follow-up actions and management decisions.
• Coordinate with Legal, Enterprise Risk, Safeguarding, Regional and Field compliance focal points to ensure analytics respond to operational needs and risk priorities.

Capacity Building, Guidance & Data Literacy

• Provide guidance, coaching and technical support to the compliance and accountability unit, Regional and Field Office staff on data collection, quality assurance, dashboard use and interpretation of analytics.
• Contribute to or develop practical guidance, SOPs, templates and training materials that embed data-informed practice across ur units work.
• Facilitate learning sessions, clinics or communities of practice to build data literacy related to accountability, compliance and due diligence.

External Engagement:

• Engage in external accountability, transparency and data/measurement networks and working groups with a focus on analytics and evidence.
• Benchmark WV’s accountability, compliance and due diligence metrics against sector standards and peer organisations and identify areas for improvement.
• Support data-driven external reporting (e.g. Accountability Report, transparency products, external commitments) by providing analysis, visualisations and technical input.

REQUIRED EDUCATION, TRAINING, LICENSE, REGISTRATION, AND/OR CERTIFICATION.

• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Analytics or a related quantitative field;
• OR Bachelor’s in International Development, Social Sciences or related discipline with demonstrable advanced training/experience in data analytics.

REQUIRED PROFESSIONAL EXPERIENCE.

• 7+ years of progressively responsible experience in data analytics, monitoring & evaluation, risk, compliance, accountability or related fields, preferably within the INGO or non-profit sector.
• Demonstrated experience designing and maintaining dashboards and analytical products (e.g. Power BI, Tableau, or similar business intelligence tools).
• Strong skills in data management and analysis, including cleaning, structuring and merging large datasets, and working with relational databases (e.g. using SQL).
• Ability to use at least one analytical or statistical tool (e.g. Excel at an advanced level, Python, R or similar) to perform descriptive and diagnostic analysis; experience with predictive or advanced analytics is an asset.
• Proven ability to translate technical analysis into clear, compelling insights and recommendations for non-technical audiences, including senior leaders.
• In-depth understanding of accountability, transparency and governance issues in the INGO sector and how they can be measured and monitored through data.
• Experience working cross-culturally and remotely with field offices and local staff in developing country contexts.
• Understanding of the regulatory environment for not-for-profit organisations, and of issues such as data protection, safeguarding, anti-corruption and PSEA, including their implications for data management and reporting.