Data Manager overseeing various research and advisory projects at Busara and managing project staff. Collaborating with academic researchers and advisory clients while ensuring project execution and management.
Responsibilities
Engage in multiple large-scale research and advisory projects at a given time.
Plan, manage, and execute external and internal engagements independently from start to finish with limited supervision.
Incorporate the latest research in qualitative and quantitative methods, behavioral science, psychology, economics, and development to provide creative solutions to engagements.
Manage and conduct qualitative and quantitative research and data analysis.
Design, launch, and analyze effective quantitative and qualitative survey instruments with coordination among project staff (Analysts, Project Leads, Data and Programming, and Operations teams).
Serve as a point of contact for clients and partners. Effectively manage the needs of stakeholders through proactive communication and troubleshooting.
Contribute to project on-boarding and off-boarding for knowledge management.
Responsible for project timelines, deliverables, reports, and staffing.
Contribute to the creation of proposals, concept notes, and pitch decks for new business opportunities and knowledge sharing. Present at conferences, networking events, or client meetings.
Contribute to the design, execution, and dissemination of Busara internal research projects.
Participate in field work for assigned projects as may be required.
Work closely to lead or support other data managers to fulfill engagement requirements.
Perform any other duty as may be assigned by the project supervisor.
Requirements
A Bachelor’s degree in Economics, Social Sciences, Public Policy, or related fields.
Strong qualitative, quantitative, research, and data analytic skills.
1-3 years’ previous work experience in a related field, with experience managing large scale research and consulting projects in developing countries.
Strong quantitative skills including knowledge of and experience working with data analysis software
Ability to quickly understand and adapt to new contextual situations
Demonstrates the ability to manage high-level relationships with partner organizations.
Excellent management and organizational skills.
Flexible, self-motivating, able to manage multiple tasks efficiently, and a team player.
Interest and experience working in a fast-paced working environment.
Fluency and excellent communication and writing skills with a mastery of English.
Ability to execute projects while sustaining a global focus and vision for institutional planning and decision making.
Ability, interest and willingness to travel to all project locations as assigned which may include in-country, regional, and international locations in the Global South.
Senior Data Scientist at Snowflake working on predictive modeling and financial forecasting initiatives. Leading high - impact projects at the intersection of ML and business strategy.
Data Science Intern leveraging skills in statistics and programming for data - driven projects at Revolve. Collaborating with marketing and operations for insightful analytics and strategy recommendations.
Senior AI & Data Scientist leading advanced analytical model development for tech company. Ensuring robust data architecture and deploying AI solutions from analysis to production.
Senior Data Scientist responsible for enhancing mapping and routing solutions at Vay. Utilizing data science and machine learning to improve navigation in urban mobility systems.
Data Scientist transforming complex data into valuable insights for adp MERKUR GmbH. Develops machine - learning models and collaborates with stakeholders for data - driven decisions.
Senior Real World Data Scientist providing statistical and epidemiological expertise in nutrition and health research. Analyzing large scale observational data and guiding project teams in statistical methodologies.
Senior Data Scientist at LexisNexis Risk Solutions applying machine learning and AI for government services. Collaborating with a diverse team to solve meaningful problems.
Clinical Data Manager supporting the biospecimen and clinical data management for WVU Cancer Institute. Engaging in data collection, management, and reporting for research and quality assurance.
Data Manager coordinating AI development processes to govern and manage data for medical devices at GE HealthCare. Collaborating with AI/ML engineers and tracking compliance and readiness throughout the lifecycle.