Purpose
- The Data Analyst is a key driver of
organizational performance and strategic impact, leading the development
and application of data analytics to optimize the effectiveness of CHW
programs globally. This role involves developing machine learning algorithms,
collaborating with digital health teams and data engineers to build robust
data workflows and automation, and providing strategic insights to enhance
program outcomes.
Key Responsibilities:
- Data Analysis Workflow and Automation: Lead the design and implementation of advanced data
analysis workflows, collaborating closely with digital health teams and
data engineers. Focus on creating automated systems that streamline data
processing and enhance reporting capabilities.
- Machine Learning Development: Develop and implement machine learning algorithms that
predict, analyze, and improve CHW performance metrics and health outcomes.
Drive the adoption of these models across the organization to enhance
decision-making and strategic planning.
- Quality Control and Data Review: Conduct thorough assessments of quality control data to
gauge organizational performance. Produce detailed, regular reports that
highlight achievements and identify areas for improvement.
- Strategic Support and Experimentation: Partner with the Global Senior Manager, Data Science and
Analytics to refine data strategies and support the deployment of
operational experiments. Offer insights that drive performance
enhancements and support innovative projects focused on community health.
- Data Visualization and Insights: Utilize advanced statistical tools and data
visualization techniques to uncover trends, patterns, and insights. Apply
these insights to inform program design, implementation, and evaluation,
facilitating evidence-based decision-making.
- Support Data-Driven Innovations: In consultation with Innovations team lead data analysis
for innovations and experiments in community health, providing analytical
support to pilot projects and new initiatives aimed at improving health
outcomes.
Required Qualifications:
- Master’s degree in computer science,
Information Technology, Statistics or any other technology related degree.
Professional Qualifications /
Membership in Professional Bodies:
Certifications:
- Proficiency certification in SQL and
statistical programming languages.
- Essential certifications in statistical
programming, specifically in R or Python.
- Advanced proficiency in Microsoft Excel.
Database Proficiency:
- Expertise in various database management
systems including SQL, MySQL, PostgreSQL, and NoSQL databases.
General IT Skills:
- Strong foundational skills in information
technology, capable of supporting complex data systems and
infrastructures.
Experience:
- Minimum of 4 years of professional work
experience in the role of a data analyst, including administrative
responsibilities, within a medium to large organization that has multiple
offices. This experience is crucial for understanding the complexities and
dynamics of managing data across diverse geographical locations.
- At least 5 years of professional
experience in managing a team within a data function that supports an
organization with offices in various locations. This experience is
essential for ensuring effective leadership and the ability to foster a
collaborative and productive team environment.
Competencies & Attributes:
- Program Reporting and Operational
Support: Demonstrated hands-on experience in leading and implementing
comprehensive program reporting and operational support frameworks.
Capable of managing and optimizing systems that facilitate efficient data
handling and reporting processes.
- Quality Control Analysis: Expert in
conducting rigorous quality control analysis. Able to meticulously assess
data and workflows to ensure accuracy and consistency across all reporting
standards and practices.
- Self-Drive: Highly motivated and able to
initiate and complete projects autonomously. Exhibits a strong work ethic
and the ability to push projects forward even in challenging
circumstances.
- Teamwork and Collaboration: Exceptional
ability to work collaboratively across teams and disciplines. Brings a
spirit of cooperation and a can-do attitude to cross-functional team
efforts, ensuring that all team members are engaged and contributing to their
full potential.
How To Apply