Data Analyst at Mercy Corps

General Position Summary

• We are looking for a Data Analyst with a focus on OOM to join the MEL Team. The Analyst will work withing the Strategy Measurement team, which comprises staff members dedicated to OOM and OPIs. They will work under the supervision of the Strategy Measurement Lead, and in collaboration with Mercy Corps’ technical support unit (TSU) technical leads and other stakeholders, to lead the OOM analysis.
• The Analyst will refine the analysis framework to collect, analyze and summarize programmatic data from all outcome areas. A first framework was developed for food security programs, but it needs to be expanded to account for the remaining three outcome areas. The Analyst will also integrate inclusion and resilience themes in the analysis by leveraging case studies and primary research. The Analyst will work with the MEL Officer and the MEL automation team to analyze quantitative and qualitative data coming from programs – it is expected that more than 200 programs will be part of the analysis, with data often incomplete or incoherent.

ESSENTIAL RESPONSIBILITIES 

Organizational Outcome Measurement

• Establishing Global Analysis Framework for OOM
• Review the existing analysis framework and work with organizational stakeholders to update the analysis framework to ensure continued alignment with the organization strategy.
• Integrate resilience and inclusion themes (through indicators and result statements) into the framework and analysis.

Data Gathering and Analysis

• With the support of the MEL Officer, develop a data collection, storage, and management plan to gather data from programs and other relevant departments, including research and learning and TSU.
• Develop a data analysis protocol across each OOM outcome area that is replicable in STATA, R or other common statistical analysis software.
• Analyze quantitative data from different program data sources including program indicator data, evaluations, and research studies This includes conducting aggregate data analysis of multiple programs as well as focusing analysis on singular programs
• Create data analysis products/results that are clear, easy to understand, and relevant
• Support qualitative data analysis from different program data sources including evaluations, research studies as needed.

Organizational Outcome Measurement Data Dissemination and Reporting

• Create visuals for the report that are clear, easy to understand and relevant.
• Support the OOM report writing, including providing clear interpretations of data analysis
• Liaise with the MEL automation team to coordinate data gathering, cleaning, and analysis efforts.
• Liaise with key stakeholders to share findings, provide recommendations, and interpret results.

 Organizational Outcome Measurement Learning (15%)

• Document learning related to framework development and implementation (process learning).
• Refine the analysis framework based on feedback and learning.
• Support sense-making workshops and learning events with countries and regions (outcome areas learning).

 Support OOM and OPI initiatives (10%)

• Support indicators development in outcome areas.
• Work with the OPI MEL Advisor in integrating OPIs in the analysis.

Supervisory Responsibility: 

• This position will not have supervisory responsibilities but will need to work in a networked leadership environment.

Accountability

• Reports Directly To:  Strategy Measurement Lead
• Works Directly With: MEL, PaQ, Research and Learning, and the Technical Support Unit, as well as regional and country portfolios.

Accountability to Participants and Stakeholders

• Mercy Corps team members are expected to support all efforts toward accountability, specifically to our program participants, community partners, other stakeholders, and to international standards guiding international relief and development work. We are committed to actively engaging communities as equal partners in the design, monitoring and evaluation of our field projects.

Minimum Qualifications & Transferrable Skills:

Education:

• Bachelors and/or Masters degree in statistics, social science, or related field Required. Masters degree
• At least 3 years of demonstrated experience conducting data analysis and reporting on program data focused on programmatic outcomes Required.
• Demonstrated knowledge and experience of applying statistical analysis (inferential statistics, non-parametric tests, regression analysis) to program data and making use of analysis/results for broader program decision-making and learning Required.
• Demonstrated expertise and experience in producing data visualizations, communicating data findings, ground truthing and producing reports on data findings that is understandable and accessible to a wider audience is going to be a core part of the job and skills and knowledge in this area. Required.