World Vision

Advisor, Data Analytics – Compliance, Accountability, Due Diligence

World Vision

full-time

Posted on:

Location Type: Remote

Location: Kenya

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About the role

  • The Advisor, Data Analytics – Compliance, Accountability & Due Diligence serves the World Vision Partnership by leading data strategy, analytics and reporting for the Compliance, Accountability & Due Diligence unit.
  • The role designs and maintains integrated datasets, dashboards and analytical products that bring together programme accountability, compliance, due diligence and external commitments data.
  • By turning complex data into clear, actionable insight for leaders, Field Offices, Regional Offices and other stakeholders, the Advisor strengthens evidence-based decision-making, improves risk management, and ensures that World Vision’s accountability to children, communities and external stakeholders is robust, measurable and transparently reported.
  • 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.
  • 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.
  • 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.

Requirements

  • 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.
  • 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.
  • Effective in written and verbal communication in English.
Benefits
  • Competitive "Total Rewards" package tailored to the context in which they work
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analyticsdata managementdata cleaningdata structuringdata mergingrelational databasesSQLPower BITableaustatistical analysis
Soft Skills
communicationcollaborationcoachingguidancedata literacyanalytical thinkingproblem-solvingcross-cultural communicationstakeholder engagementpresentation skills