World Vision
Non-profit + 1 more
Advisor, Data Analytics – Compliance, Accountability & Due Diligence
Closed for applications
Description
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.
LANGUAGE REQUIREMENTS:
- Effective in written and verbal communication in English.
Responsibilities
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.
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