Manager, Data for Decision Making

About Rare

Rare inspires change so people and nature thrive. For 50 years, across 60 countries, we have inspired and empowered millions of people and their communities to shift their behaviors and practices to protect our shared planet. We are a global leader in driving social change for people and nature and believe that the cumulative power of individual and community action is a vital pathway to safeguarding and restoring our shared waters, lands, and climate.  Rare's organizational culture is results-oriented, and entrepreneurial, and our global programs cover the thematic areas of climate change, fisheries and marine conservation, sustainable agriculture food security, and Green Recovery.

Essential Functions

The Manager for Data for Decision-Making reports to the Director for Science and Marine Governance and will be responsible for:

• In collaboration with Philippines and global teams, develop, test, and execute strategies to improve comprehensiveness and quality of data collection
• Manage and troubleshoot issues with multiple data sources, data streams, and data sets.
• Foster a learning culture by leading data analysis to derive actionable insights for Rare and its partners
• Create intuitive data visualizations and dashboards to communicate findings to diverse stakeholders
• Lead Monitoring, Evaluation, and Learning (MEL) activities including donor reporting, in collaboration with the Global MEL director
• Lead analysis to deliver data-driven recommendations for program design, implementation, and policy advocacy
• Develop training program, materials and lead the conduct of workshops to enhance data literacy for staff and implementing partners
• Manage the Associate for Data and Research
• Other duties may be assigned from time to time

Experience and Education

• Bachelor's or Master's degree in social science, natural science, or statistics

      Technical Skills:

• Proven experience in all aspects of research including developing research design, primary data collection, troubleshooting, data cleaning, analysis, insights generation, and reporting
• Fluency in statistical analysis software such as R
• Familiarity on the use of data visualization software i.e., PowerBi and equivalent
• Basic to intermediate familiarity with application integration and platforms
• Experience with application programming interfaces (APIs) and database systems
• Proficiency in MySQL queries, with Java and/or Python considered a plus
• Proven ability to understand statistical models and assumptions and apply them in appropriate situations for practical use.
• Familiarity with the use of AI in data management and analysis is a plus.

      Non-Technical Skills:

• Experience in conducting training on technical topics for non-technical audiences
• Exceptional organizational skills to prioritize projects and initiate follow-through with meticulous attention to detail
• Proven ability on Monitoring, Evaluation, and Learning principles including Adaptive Management
• Willingness to travel for 60% of the time.
• Excellent interpersonal and communication skills, verbal and written, including the ability to effectively engage with staff and partners at all levels in a fast-paced work environment.
• Sound business judgment and ability to manage shifting priorities and competing deadlines to ensure accuracy and high-quality standards while applying a system's view of outcomes and impact.
• Prior experience in an international, cross-cultural work environment is essential, and a willingness to work flexible hours as needed.
• Written and verbal fluency in English.

Rare is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic.