JOB DESCRIPTION

UNICEF works in over 190 countries and territories to save children’s lives, defend their rights, and help them fulfill their potential, from early childhood through adolescence.

At UNICEF, we are committed, passionate, and proud of what we do for as long as we are needed. Promoting the rights of every child is not just a job – it is a calling.

UNICEF is a place where careers are built. We offer our staff diverse opportunities for professional and personal development that will help them reinforce a sense of purpose while serving children and communities across the world. We welcome everyone who wants to belong and grow in a diverse and passionate culture., coupled with an attractive compensation and benefits package.

Visit our website to learn more about what we do at UNICEF.

For every child, the right to peace

PURPOSE OF ASSIGNMENT:

UNICEF is one of the most admired organizations globally, impacting the lives of children in almost every country of the world. Your work with UNICEF will enable this life-saving and critical work in the most direct way: by raising money that lets us help the most difficult to reach.

UNICEF is at an exciting time as it expands its digital footprint, and we need great professionals to support this challenge. This role is an opportunity to take UNICEF’s fundraising to the next level. Come and help save and nurture children’s lives.

UNICEF is looking for a Digital Data Analyst to work closely with our Global Data and Insights team, which sits within the Individual Giving Unit (IG), Division of Private Fundraising and Partnerships (PFP), to support a digital transformation journey aimed at increasing revenues and making an impact on children’s lives around the world. The Digital Data Analyst will support the IG team based in Geneva, a highly committed and performance-driven team, responsible for overseeing a fundraising program that delivers over one billion dollars of income every year.

The Digital Data Analyst will be responsible for implementing and creating a Retention Dashboard for the Email Marketing Salesforce team, providing visibility into all email customer journeys, creating Machine Learning (ML) models to tackle business problems such as churn rate, and supporting the development of a marketing mix model that will become a global standard for UNICEF IG team.

How can you make a difference?

SCOPE OF WORK:

The Digital data analyst is expected to:

• Act as a subject matter expert in data analytics and GCP/salesforce data technologies for digital channels.
• Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.
• Work within an Agile environment.
• Build and deliver Data and reporting solutions using GCP products and offerings.

Key responsibilities and main tasks include the following:

• Donors Dashboard: 

Development of the existing Donors Dashboard. This requires expertise in Stripe and CRM integration. Deliverables include developing the BigQuery dataset, creating the dashboard with partial coverage using Stripe data (identifying existing and new donors, payments, and donations), and enhancing the dashboard with full coverage by incorporating CRM data (touchpoints, journeys, demographics, etc.). Your contributions will enable us to gain valuable insights into donor behavior and optimize our fundraising efforts. 

• Full Email Dashboard – Journey Accelerator: 

Development of the full Email Dashboard to support the Retention Journey Accelerator Squad. This requires integrating Salesforce Marketing Cloud and expertise in data analysis and visualization. Deliverables include developing the necessary BigQuery dataset and creating the dashboard to provide insights into email campaign performance. Your contributions will help enhance our email marketing strategies and optimize customer engagement. 

• Cash to Pledge / LTV ML Model Development: 

Development of a Cash to Pledge ML Model. This includes developing the features table, building the ML model, reviewing and enhancing the model, and implementing it for LTV and pledge increase. This requires strong technical skills and expertise in machine learning. Your contributions will help us proactively identify and retain customers at risk of churning. 

• Meridyan MMM Project:

Developing a reusable model pipeline for each market, implementing the Meridyan MMM model currently piloted in the German Market. This project requires expertise in data retrieval, exploratory data analysis (EDA), and transforming data for MMM. Your contributions will enable us to make data-driven marketing decisions and optimize our marketing mix strategies.  

• Drive Digital Analytics Maturity: 

Own the marketing, retention, and customer journey data and analytics roadmap, ensuring we are progressing towards a more complete and accurate data model that drives effectiveness across the full donation funnel, and interactions with digital marketing channels, as well as marketing mix modelling. Use data to identify trends, uncover new opportunities, and answer business questions on online conversions and audience targeting. 

• Collaborate Across Departments: 

The Digital Data Analyst will need strong collaboration and influence skills in order to work with varied stakeholders within the organization and increase the level of data maturity in-house. In particular, the digital data analyst will work in close collaboration with local Individual Giving team, the Virtual Hub, and the Retention teams to refine their data requirements for various data and analytics initiatives and their data consumption needs. 

• Capacity Build and Train: 

The Digital Data Analyst should be curious and knowledgeable about new data initiatives and how to address them. This includes applying their data and/or domain understanding to new data requirements. They will also be responsible for proposing appropriate (and innovative) data ingestion, preparation, integration, and operationalization techniques to optimally address these requirements. Lastly, the analyst should be in a position to upskill internal teams on a day-to-day basis in using new products produced via the Google Marketing Hub Platform.

DELIVERABLES/KEY ACTIVITIES:

Deliverable 1 by end September 2025 (Key Activities – Donors Dashboard for Virtual Hub and International Markets)

• One Fully Functional BigQuery Dataset is developed and delivered. Develop and deliver one dataset containing relevant data from Stripe and CRM integration.
• One Partial Coverage Dashboard is developed and delivered.  Develop and deliver one dashboard that provides partial coverage using Stripe data. This dashboard should include visualizations and analytics to identify existing and new donors, track payments, and monitor donation patterns.

Deliverable 2 by end October 2025 (Key Activities – Donors Dashboard for Virtual Hub and International Markets)

• One Comprehensive and Full Coverage Dashboard is developed and delivered.  Enhance the existing dashboard by incorporating CRM data. Deliver one comprehensive dashboard that includes touchpoint analysis, customer journey visualization, demographic insights, and other relevant metrics.
• One Data Integration Dashboard is established. Ensure successful integration of Stripe and CRM data into the dashboard, establishing a reliable and automated data pipeline.

Deliverable 3 by end October 2025 (Key Activities: Full Email Dashboard for Virtual Hub and Markets (onboard to marketing cloud)

• One Comprehensive BigQuery Dataset is completed. Develop and deliver one comprehensive BigQuery dataset containing relevant data from Salesforce Marketing Cloud and other sources to support the Journey Accelerator program at scale across all SES markets.
• One Journey Accelerator Campaign Performance is created and delivered. Create and deliver a visually appealing and informative dashboard that provides insights into email campaign performance metrics such as open rates, click-through rates, conversions, and engagement.

Deliverable 4 by end November 2025 (Key Activities – Donors Dashboard for Virtual Hub and International Markets)

• One Insightful Report is documented and completed. Generate one insightful report and documentation that outlines key findings and actionable recommendations based on the analysis of donor behavior and fundraising optimization.
• An Integrated Salesforce Marketing Cloud is available.  Successfully integrate Salesforce Marketing Cloud with the existing data infrastructure, ensuring seamless data flow and synchronization.

Deliverable 5 by end November 2025 (Key Activities: Full Email Dashboard for Virtual Hub and markets (onboard to marketing cloud)

• One Data Visualization and Analysis Report is developed and delivered.  Apply data analysis and visualization techniques to present key findings and trends in email campaign performance, enabling stakeholders to easily interpret and make informed decisions.
• One Email Marketing Strategies & Optimization Report is developed and delivered. Provide actionable recommendations based on the analysis of email campaign performance, highlighting areas of improvement and suggesting strategies to enhance email marketing effectiveness and customer engagement.

Deliverable 6 by end December 2025 (Key Activities – Churn ML Model Development)

• One Prediction ML Model is developed and delivered.  Develop and deliver a robust and accurate machine learning model to predict customer churn. This includes model training, fine-tuning, and optimization. KPI: Availability of a churn prediction ML Model
• One Model Evaluation and Enhancement Report is developed and delivered.  Conduct a thorough evaluation of the churn prediction model, identifying areas for improvement and implementing enhancements to increase its predictive accuracy. KPI: Model Evaluation Report

Deliverable 7 by end January 2026 (Key Activities – Churn ML Model Development)

• Prediction Model is Implemented. Successfully implement the churn prediction model into the organization’s systems/processes to enable real-time or periodic identification of customers at risk of churning. This may involve integration into existing software or databases and automation of churn prediction for actionable retention strategies. KPI: Availability of Churn prediction model

Deliverable 8 by end March 2026 (Key Activities – Lightweight MMM Project in Identified Markets)

• A Reusable Model Pipeline is developed. Develop a reusable model pipeline applicable to each market, including standardized processes for data retrieval, Exploratory Data Analysis (EDA), and transformation tailored to market specific requirements.
• MMM Model is successfully implemented in one of the markets.  Successfully implement the Lightweight Marketing Mix Model (LwMMM) or other relevant machine learning models for attribution in one pilot market. This includes adapting the model pipeline to the market, integrating data sources, and generating insights into marketing effectiveness.

Deliverable 9 by end May 2026 (Key Activities – Lightweight MMM Project in Identified Markets)

• MMM Model Performance is evaluated, and a Model Performance Evaluation Report is completed. Evaluate the model’s performance by analyzing metrics and comparing predictions with actual marketing outcomes. Assess accuracy, reliability, and utility to inform marketing decisions, and release the model as an operational tool for optimizing marketing mix strategies. KPI: Availability of Model Performance Evaluation Report

Deliverable 10 by end June 2026 (Key Activities: Drive Digital Analytics Maturity)

• Audience Segmentation and Data-Driven Targeting Strategy is implemented and finalized. Analyze user behavior, identify pain points, and optimize the user experience across the full funnel to improve conversion rates. KPI: Availability of Audience segmentation and data driven targeting strategy
• An Advanced Audience Segmentation and Targeting Techniques and Strategies is developed. Based on data analysis, create deliverables to improve campaign performance (e.g., increasing click-through rates). Use customer data to identify high-value segments, personalize messaging, and optimize campaign targeting. KPI: Availability of Audience segmentation and data driven targeting strategy

Deliverable 11 by end July 2026 (Key Activities – Collaborate Across Departments)

• One Data Requirement Gathering, Refinement and Recommendation Report is issued and available.  Work closely with the local Individual Giving team and the Virtual Hub teams to refine their data needs, identify data gaps, and provide recommendations to support decision-making. KPI: Availability of one Optimization and Recommendation Report.

Deliverable 12 by end August 2026 (Key Activities: Educate and Train)

• Training Materials (video tutorials, how-to-guides, best practices) are developed. Create training materials tailored to varying levels of expertise across internal teams. KPI: Availability Training Material
• Conduct a minimum of 3 Training sessions in a year.  Deliver in-person of remote sessions with demonstrations, exercises, and Q&A to help internal teams adopt new tools and data products. KPI: Conduct 3 Training Sessions in a year.

Travel:

• There is the possibility of travel during the assignment on a per need basis, which will be paid by UNICEF.  This is not included in the lump sum fees.

To qualify as an advocate for every child you will have…

 

Education:

• Highly recommended an Advanced University Degree in Computer Science, Statistics, Mathematics, IT, or any other related field is required. Alternatively, a first level university degree with an additional 2 years of relevant professional work experience will be accepted in lieu of an advanced degree.
• Any other additional training in a related field is an asset.

Experience:

• A minimum of 5 years of progressively responsible professional work experience in data and analytics is required.
• Experience in cloud technologies, in particular Google BigQuery is required.
• Strong SQL knowledge and experience working with relational and non-relational databases is required.
• Strong communication skills are required, with the ability to convey complex information in a clear and understandable manner.
• Experience in building analytics dashboards and using data to drive insights for campaign optimization is highly desirable.

Languages:

• Fluency in English is required.
• Knowledge of other official UN language (Arabic, Chinese, French, Russian or Spanish) is considered as an asset.

Others:

• A strong willingness to learn new technologies and stay up to date with trends in the fundraising space.
• Ability to explain marketing solutions and data to non-technical colleagues.

For every Child, you demonstrate…

UNICEF”s values of Care, Respect, Integrity, Trust, Accountability, and Sustainability (CRITAS).

To view our competency framework, please visit  here.

Remarks: 

Please indicate your all-inclusive (lump sum) fees against the deliverables listed above, including all associated administrative and travel costs (if applicable), in the cover letter. The office selects the individual based on best value for money.

 

Payment of professional fees will be based on submission of agreed deliverables. UNICEF reserves the right to withhold payment in case the deliverables submitted are not up to the required standard or in case of delays in submitting the deliverables on the part of the consultant.

Only shortlisted candidates will be contacted and advance to the next stage of the selection process.

Individuals engaged under a consultancy or individual contract will not be considered “staff members” under the Staff Regulations and Rules of the United Nations and UNICEF’s policies and procedures, and will not be entitled to benefits provided therein (such as leave entitlements and medical insurance coverage). Their conditions of service will be governed by their contract and the General Conditions of Contracts for the Services of Consultants and Individual Contractors. Consultants and individual contractors are responsible for determining their tax liabilities and for the payment of any taxes and/or duties, in accordance with local or other applicable laws.

The selected candidate is solely responsible to ensure that the visa (applicable) and health insurance required to perform the duties of the contract are valid for the entire period of the contract. Selected candidates are subject to confirmation of fully-vaccinated status against SARS-CoV-2 (Covid-19) with a World Health Organization (WHO)-endorsed vaccine, which must be met prior to taking up the assignment. It does not apply to consultants who will work remotely and are not expected to work on or visit UNICEF premises, programme delivery locations or directly interact with communities UNICEF works with, nor to travel to perform functions for UNICEF for the duration of their consultancy contracts.

UNICEF is here to serve the world’s most disadvantaged children and our global workforce must reflect the diversity of those children. The UNICEF family is committed to include everyone, irrespective of their race/ethnicity, age, disability, gender identity, sexual orientation, religion, nationality, socio-economic background, or any other personal characteristic.

UNICEF offers reasonable accommodation for consultants/individual contractors with disabilities. This may include, for example, accessible software, travel assistance for missions or personal attendants. We encourage you to disclose your disability during your application in case you need reasonable accommodation during the selection process and afterwards in your assignment.

UNICEF has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and UNICEF, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination. UNICEF also adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo rigorous reference and background checks. Background checks will include the verification of academic credential(s) and employment history. Selected candidates may be required to provide additional information to conduct a background check.

Level of Education: Bachelor Degree

Work Hours: 8

Experience in Months: No requirements