Data Analyst - TerraFund
Analyze data and support the restoration initiative by providing insights into socio-economic indicators.
Overview
Analyze data and support the restoration initiative by providing insights into socio-economic indicators.
You have:
- You have completed a bachelor's degree in statistics, economics, or other related field
- You have 3+ years of experience, including in statistical data analysis and reporting
- Demonstrated capacity to use statistical analysis tools, such as STATA, R and NVIVO
- Experience working with projects and local organizations working in restoration
- Experience with Mobile and Online data collection platforms such as ODK, Kobo Collect and Survey CTO
- Demonstrated ability to communicate about statistical data and insights
- Familiarity with project management tools, such as Airtable or Monday.com, preferred
- You will be proficient in written and spoken English, with additional fluency in French, Spanish, Portuguese, or Hindi preferred
- Existing work authorization is required at the time of application submission
This position will be hybrid requiring a few days per week in the WRI Kenya office in Nairobi. Existing work authorization is required at the time of application submission. WRI is unable to sponsor any visa work sponsorship for this position.
This is a limited-term position for a period of twelve months with the possibility of renewal.
About the Program:
WRI’s Global Restoration Initiative informs, enables, and invests in people that restore degraded land. The team’s flagship investment program for locally led enterprises and community non-profits, TerraFund, currently finances, trains, and monitors 230+ growing organizations across Africa, Latin America, and South Asia. The program operates three funding windows. In Africa, TerraFund for AFR100 finances 200+ organizations through grants, low-interest loans, and equity investments with a focus on the Lake Kivu & Rusizi River Basin in Burundi, Democratic Republic of the Congo, and Rwanda; the Greater Rift Valley of Kenya; and the Ghana Cocoa Belt. In India, Harit Bharat Fund, a new landscape restoration fund, is financing its first cohort of restoration champions in the states of Chhattisgarh, Madhya Pradesh, and Maharashtra. And globally, the Priceless Planet Coalition is financing large-scale restoration projects that benefit the climate, biodiversity, and communities. To build this pipeline of champions ready for investment, WRI has trained more than 400 organizations in Africa, Brazil, and India through the Land Accelerator, which teaches the fundamentals of financial management, pitching, and monitoring and evaluation. In 2024, that program will expand to work with hundreds of entrepreneurs annually. These portfolios for funding and capacity building are built through the TerraMatch platform, an end-to-end system that hosts open calls for proposals, connects champions with technical assistance, and tracks the progress of funded projects through a standard monitoring, reporting, and verification protocol. Through its more than 50 core business processes and tested standards, TerraFund shows that targeted investments in locally led champions can build viable restoration economies around the world
Job Highlight:
Reporting to the Monitoring, Evaluation, Reporting and Learning (MERL) Associate, you will analyse reporting data submitted through the TerraMatch platform to identify any trends, insights and successes made by TerraFund for AFR100 restoration champions in Africa. You will support management and reporting on the socio-economic and livelihood indicators for the program’s monitoring framework. You will train funded non-profits and enterprises to submit accurate socio-economic and livelihood data and report trends to the monitoring team and project teams across target African landscapes. You will support the MERL Associate, TerraFund for AFR100 to review, analyze and improve the accuracy and robustness of jobs, livelihoods, knowledge and skills, and ecosystem services indicators. Your recommendations and insights will directly inform the structure and composition of investment portfolios that are presented to philanthropists, corporations, private investors, and multilateral development banks. This is a unique opportunity to work directly with a dynamic team of experts that is dedicated to resourcing locally led organizations at the core of Africa’s movement to restore degraded land.
What will you do:
Qualitative and Quantitative Analyses (70%):
- Review, analyse and report 6-month reporting data from 200+ TerraFund non-profit and business projects on restoration progress
- Support the improvement of the accuracy and robustness of jobs, livelihoods, knowledge and skills as well as ecosystem services indicators of landscape restoration
- Support the implementation of the Monitoring, Reporting, and Verification for qualitative data and socioeconomic indicators with TerraFund project management, product, and monitoring teams
- Support the continuous improvement of the Monitoring, Reporting, and Verification and analysis plans, especially on reported or field-collected metrics on jobs, livelihoods, knowledge and skills as well as ecosystem services
- Support data quality assessment, data management, data analysis and visualization processes by coordinating with partners such as One Tree Planted, and Realize Impact
- Assist the Senior Product Manager in data cleaning and undertaking descriptive analysis of other project data as requested by MERL Associate and Monitoring Manager
Technical Assistance (30%):
- Train TerraFund projects on how to submit accurate socio-economic data in their reports.
- Manage the site visit verification protocol and process with TerraFund partners, managing schedules for visits and setting the expectations for site visits
- Collate and analyze reports from the site visits and present insights to the overall TerraFund team.
What will you need:
Education: You have completed a bachelor’s degree in statistics, economics, or other related field
Experience: You have 3+ years of experience, including in statistical data analysis and reporting
- Demonstrated capacity to use statistical analysis tools, such as STATA, R and NVIVO
- Experience working with projects and local organizations working in restoration
- Experience with Mobile and Online data collection platforms such as ODK, Kobo Collect and Survey CTO
- Demonstrated ability to communicate about statistical data and insights
- Familiarity with project management tools, such as Airtable or Monday.com, preferred
- Languages: You will be proficient in written and spoken English, with additional fluency in French, Spanish, Portuguese, or Hindi preferred
- Requirements: Existing work authorization is required where this position is based. WRI is unable to authorize visa work authorization.
Potential Salary:
Salary is commensurate with experience and other compensable factors. WRI offers a competitive remuneration and benefits package.
How to Apply:
Please submit a resume with cover letter by 6 March 2024. You must apply through the WRI Careers portal to be considered.
What we offer:
- A competitive salary
- Access to the WRI global network with the opportunity to exchange with and learn from passionate colleagues working at the cutting edge of their fields across Asia, Africa, Europe, Latin America and the US
- The chance to have an impact and to develop your career within a mission driven organization with access to varied learning and training opportunities
- A workplace that strives to put diversity and inclusion at the heart of our work
- The opportunity to join and get involved in different working groups and affinity groups to shape the future of WRI
- Commitment to hybrid working model with flexible working hours
- Generous leave days that increase with tenure.
About Us:
Founded in 1982, World Resources Institute (WRI) is an independent, nonprofit global research organization that turns big ideas into action at the nexus of environment, economic opportunity, and human well-being. We are working to address seven critical challenges that the world must overcome this decade to secure a sustainable future for people and the planet: climate change, energy, food, forests, water, sustainable cities, and the ocean. WRI has a global staff of over 1,800 people with work spanning 60 countries. We have offices in Africa, Brazil, China, Europe, India, Indonesia, Mexico, Colombia and the United States, as well as a growing presence in other countries and regions.
The foundation of our work is delivering high-quality research, data, maps, and analysis to solve the world’s greatest environment and international development challenges and improve people’s lives. We work with leaders in government, business, and civil society to drive ambitious action and create change on the ground. Equally important, we bring together partners to develop breakthrough ideas and scale-up solutions for far-reaching, enduring impact.
Our mission and values:
WRI’s mission is to move human society to live in ways that protect Earth’s environment and its capacity to provide for the needs and aspirations of current and future generations.
Our values are shared ideals that bind us together: Integrity, Innovation, Urgency, Independence and Respect.
Our culture:
WRI is committed to advancing gender and social equity for human well-being in our mission and applies this principle to our organizational and programmatic practices. We are committed to providing equal opportunities in employment; we embrace all diversity and encourage women, the LGBTQ+ community, persons with disabilities, Afro-descendants, and Indigenous people to apply. Recognizing our strong commitment to gender equality, WRI has also been awarded EDGE certification.
Our team in Human Resources carefully reviews all applications.
Potential interview questions
| Can you give an example of a time you analyzed data and what insights you gained from it? | This assesses your analytical skills and ability to derive meaningful conclusions from data. | Provide specific examples showcasing your data analysis methods and the impact of your insights. |
| How do you ensure the accuracy and reliability of data when conducting analysis? | This question evaluates your understanding of data integrity and validation processes. | Pro members can see the explanation. |
| Describe a challenging situation in a project you worked on and how you navigated it. | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you prioritize tasks when managing multiple projects with tight deadlines? | Pro members can see the explanation. | Pro members can see the explanation. |
| What methods do you use to communicate statistical findings to non-technical stakeholders? | Pro members can see the explanation. | Pro members can see the explanation. |