World Vision is an international Christian relief, development and advocacy organisation working in almost 100 countries world-wide to create lasting change in the lives of children, families and communities to overcome poverty and injustice. In collaboration with VisionSpring, the Marketing Analytics Lead will drive data-driven decision-making across product management, marketing activity, and market research.
Job Responsibilities
Product Analytics
Map the analytical needs of VisionSpring teams in relation to products.
Bring disparate data about products together in a single, well-structured data model from which analyses can be built.
Build reporting dashboards for product sales KPIs across markets and use these to track the performance of new product introductions and to deliver insights to product sales & marketing teams.
Provide advisory support for IT system improvements to better embed key indicators and data fields into systems, including ERP and CRM.
Marketing Activity & Campaign Evaluation
Design and execute data collection and reporting elements of B2B marketing campaign evaluations, ensuring data is available to estimate campaign impact and ROI.
Create data collection plans for B2C demand generation campaigns, assure data quality, and build data models that enable rapid analysis and insight generation.
Understand marketing KPIs across B2B and B2C channels (conversion, retention, ROI) and develop measurement frameworks to assess campaign effectiveness.
Design and refine attribution models to evaluate channel and campaign performance across touchpoints.
Analyze end-to-end market funnels to identify drop-offs and optimization opportunities.
Act as a first point of contact for the analytical needs of the Marketing & Communications (MarCom) team.
Work across the MarCom and MERL teams to ensure marketing KPIs are represented in programs (B2C) dashboards.
Provide key analytical insights to inform decision-making, reporting, and donor communications, translating complex analysis to clear, actionable recommendations.
Market Research & Customer Surveys
Use customer-level databases to build an understanding of diverse customer segments across global markets.
Establish and update key benchmarking regarding overall market dynamics including market opportunity sizing (TAM), retail density, and other geographic economic and social indicators.
Contribute to the design of market research projects (internal and commissioned) and manage day-to-day project execution.
Deploy diverse analytical approaches, including secondary analysis of internal data, analysis of surveys, individual interviews, and focus group discussions.
Translate insights into actionable recommendations for Program, MERL, and MarComms teams to inform product, pricing, and go-to-market strategies.
Develop dashboards, reports, and presentations to support strategic decision-making.
Requirements
Education: BA/BSc/HND degree.
Experience: 4-5+ years of progressive experience in marketing analysis.
Database analysis skills: Experience working with structured databases, creating data models, reports, and dashboards. Experience with SAP and/or Salesforce systems is a bonus.
Working with unstructured data: Experience in data cleaning, transformation, and structuring for analysis (CSV/Excel) from multiple sources.
Product analysis: Aptitude with product and customer-level sales analysis including volume tracking, customer value/preference assessments, and core financial indicators (e.g., profitability).
Communication skills: Able to distill marketing data insights into clear written narratives, data visualizations, and engaging presentations.
Software skills: Competency in MS Office (excellent Excel skills required), data extraction, database analysis, dashboard development, and data visualization. Experience with PowerBI, Salesforce, or SAP is a bonus. Skills in statistical packages (e.g., R, SPSS) are beneficial.
Geographic Experience (Desirable): Experience working in Sub-Saharan Africa and/or South Asia (India, Bangladesh).
Research skills (Desirable): Expertise in surveys, qualitative interviews, and evaluation methods, ideally in lower-income settings.
Sector Experience (Desirable): Experience across both non-profit and for-profit sectors.
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